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DeepSeek: DeepSeek V4 Pro

Open MoE flagship with million-token context for coding and long agent runs

Source-linked deepseek-thinking Open weights Released 2026-04-24
API record Report
InputT
OutputT
Input price$0.66/M
Output price$1.98/M
Context1M
Max output384K
Providers72
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering DeepSeek V4 Pro
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Alibaba Token Plan (China) deepseek-v4-pro 1M 384K — — — ReasoningToolsJSON Docs ↗
AnyAPI deepseek/deepseek-v4-pro 1M 384K — — — ReasoningToolsJSON Docs ↗
Model Oracle AI deepseek-v4-pro 1M 384K — — — ReasoningToolsJSON Docs ↗
Nvidia deepseek-ai/deepseek-v4-pro 1.04858M 393.216K — — — ReasoningToolsJSON Docs ↗
UnoRouter deepseek-v4-pro:free 1M 384K — — — ReasoningToolsJSON Docs ↗
Alibaba Token Plan deepseek-v4-pro 1M 384K — — — ReasoningToolsJSON Docs ↗
Umans AI Coding Plan umans-deepseek-v4-pro-0813 1.04858M 393.215K — — — ReasoningToolsJSON Docs ↗
Volcengine Ark Coding Plan deepseek-v4-pro 1M 384K — — — ReasoningToolsJSON Docs ↗
SCNet Token Plan DeepSeek-V4-Pro 1M 384K — — — ReasoningToolsJSON Docs ↗
SenseNova (China) deepseek-v4-pro 1.04858M 65.536K — — — ReasoningToolsJSON Docs ↗
OpenRouter deepseek/deepseek-v4-pro 1.04858M 384K $0.209 $0.418 $0.017 ReasoningToolsJSON Docs ↗
routing.run deepseek-v4-pro 1M 64K $0.348 $0.696 — ReasoningToolsJSON Docs ↗
CrofAI deepseek-v4-pro 1M 131.072K $0.35 $0.8 $0.003 ReasoningToolsJSON Docs ↗
EBCloud DeepSeek-V4-Pro 1M 384K $0.429 $0.857 — ReasoningToolsJSON Docs ↗
Hugging Face deepseek-ai/DeepSeek-V4-Pro 1.04858M 393.216K $0.435 $0.87 $0.004 ReasoningToolsJSON Docs ↗
OpenCode Go deepseek-v4-pro 1M 384K $0.435 $0.87 $0.004 ReasoningToolsJSON Docs ↗
Pioneer deepseek-ai/DeepSeek-V4-Pro 1M 131.072K $0.435 $0.87 $0.004 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) deepseek-v4-pro 1.05M 384K $0.435 $0.87 $0.004 ReasoningToolsJSON Docs ↗
Modelis deepseek-v4-pro 1M 384K $0.435 $0.87 — ReasoningToolsJSON Docs ↗
TokenGo deepseek/deepseek-v4-pro 1M 384K $0.435 $0.87 — ReasoningToolsJSON Docs ↗
LLM Gateway deepseek/deepseek-v4-pro 1.05M 393.216K $0.435 $0.87 $0.004 ReasoningTools Docs ↗
Kenari deepseek-v4-pro 1M 384K $0.571 $1.143 $0.006 ReasoningToolsJSON Docs ↗
Vercel AI Gateway deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
ZenMux deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
OrcaRouter deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
DeepSeek deepseek-v4-pro 1.04858M 393.216K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
ClinePass cline-pass/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
Eden AI deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
Vancine deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
Tempr Gateway deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
CommandCode deepseek/deepseek-v4-pro 1M 384K $0.66 $1.98 $0.022 ReasoningToolsJSON Docs ↗
NanoGPT deepseek/deepseek-v4-pro 1.04858M 384K $0.7 $1.4 $0.07 ReasoningToolsJSON Docs ↗
above.dev deepseek-v4-pro 1M 384K $0.726 $2.178 $0.024 ReasoningToolsJSON Docs ↗
UnoRouter deepseek-v4-pro 1M 384K $0.9 $1.8 — ReasoningToolsJSON Docs ↗
AI/ML API deepseek/deepseek-v4-pro 1M 384K $0.9 $2.7 $0.03 ReasoningToolsJSON Docs ↗
ai& deepseek-ai/deepseek-v4-pro 1.04858M 384K $1 $2.5 $0.25 ReasoningToolsJSON Docs ↗
Neuralwatt deepseek-v4-pro 1.04856M 393.216K $1 $3 $0.1 ReasoningToolsJSON Docs ↗
Standard Compute deepseek/deepseek-v4-pro 1M 50K $1.044 $2.088 $0.209 ReasoningToolsJSON Docs ↗
Fireworks AI accounts/fireworks/models/deepseek-v4-pro 1M 384K $1.2 $1.2 $0.6 ReasoningToolsJSON Docs ↗
Deep Infra deepseek-ai/DeepSeek-V4-Pro 1.04858M 16.384K $1.3 $2.6 $0.1 ReasoningToolsJSON Docs ↗
Auriko deepseek-v4-pro 1M 384K $1.32 $3.96 $0.044 ReasoningToolsJSON Docs ↗
Merge Gateway deepseek/deepseek-v4-pro 1M 384K $1.32 $3.96 $0.044 ReasoningToolsJSON Docs ↗
Ofox deepseek/deepseek-v4-pro 1M 384K $1.32 $3.96 $0.044 ReasoningToolsJSON Docs ↗
Umans AI umans-deepseek-v4-pro-0813 1.04858M 393.215K $1.32 $3.96 $0.044 ReasoningToolsJSON Docs ↗
Requesty deepseek-v4-pro 1M 131.072K $1.32 $3.96 $0.044 ReasoningToolsJSON Docs ↗
CrossModel deepseek/deepseek-v4-pro 1M 384K $1.35 $4.05 $0.045 ReasoningToolsJSON Docs ↗
GMI Cloud deepseek-ai/DeepSeek-V4-Pro 1.04858M 384K $1.392 $2.784 $0.116 ReasoningToolsJSON Docs ↗
SiliconFlow deepseek-ai/DeepSeek-V4-Pro 1M 384K $1.502 $3.135 $0.135 ReasoningToolsJSON Docs ↗
Novita AI deepseek/deepseek-v4-pro 1.04858M 393.216K $1.6 $3.2 $0.135 ReasoningToolsJSON Docs ↗
Kilo Gateway deepseek/deepseek-v4-pro 1.024M 384K $1.6 $3.2 $0.135 ReasoningToolsJSON Docs ↗
Jalapeno Cloud DeepSeek-V4-Pro 1.04858M 384K $1.6 $3.38 $0.14 ReasoningToolsJSON Docs ↗
Alibaba (China) deepseek-v4-pro 1M 384K $1.65 $3.301 — ReasoningToolsJSON Docs ↗
EmpirioLabs AI deepseek-v4-pro 1M 393.216K $1.65 $3.3 $1.65 ReasoningToolsJSON Docs ↗
Venice AI deepseek-v4-pro 1M 32.768K $1.65 $3.301 $0.33 ReasoningToolsJSON Docs ↗
Cortecs deepseek-v4-pro 1M 384K $1.7 $3.4 $0.15 ReasoningTools Docs ↗
Vivgrid deepseek-v4-pro 1M 384K $1.74 $3.48 $0.14 ReasoningToolsJSON Docs ↗
DigitalOcean deepseek-v4-pro 1.04858M 393.216K $1.74 $3.48 — ReasoningToolsJSON Docs ↗
Abacus deepseek-ai/DeepSeek-V4-Pro 1M 32.768K $1.74 $3.48 $0.15 ReasoningToolsJSON Docs ↗
OpenCode deepseek-v4-pro 1M 384K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
HPC-AI deepseek/deepseek-v4-pro 1.002M 128K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
FastRouter deepseek/deepseek-v4-pro 1M 384K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
Impossibl deepseek/deepseek-v4-pro 1M 384K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
Cloudflare AI Gateway deepseek/deepseek-v4-pro 131.072K 384K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
Arcee deepseek/deepseek-v4-pro 512K 384K $1.74 $3.48 $0.2 ReasoningToolsJSON Docs ↗
Baseten deepseek-ai/DeepSeek-V4-Pro 1.04858M 262.144K $1.74 $3.48 $0.145 ReasoningToolsJSON Docs ↗
Nebius Token Factory deepseek-ai/DeepSeek-V4-Pro 1.04858M 1.04858M $1.75 $3.5 $1.75 ReasoningToolsJSON Docs ↗
TensorX deepseek/deepseek-v4-pro 1.04858M 384K $1.75 $3.5 $0.438 ReasoningToolsJSON Docs ↗
Opper deepseek-v4-pro 1M 65.536K $1.788 $3.576 — ReasoningToolsJSON Docs ↗
Moark DeepSeek-V4-Pro 1M 384K $1.8 $3.6 — ReasoningToolsJSON Docs ↗
Melious deepseek-v4-pro 1M 384K $1.855 $3.709 $0.464 ReasoningToolsJSON Docs ↗
Prime Inference deepseek/deepseek-v4-pro 1.04858M 384K $1.91 $3.83 — ReasoningToolsJSON Docs ↗
Charm Hyper deepseek-v4-pro 1M 384K $2.4 $4.8 $0.2 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.209/M

Across 62 priced providers

Median input $1.32/M

Midpoint of listed rates

Highest input $2.4/M

11.5× the lowest listed rate

Output range $0.418 – $4.8

Per million output tokens

OpenRouter $0.209/MLowest
routing.run $0.348/M
CrofAI $0.35/M
EBCloud $0.429/M
Hugging Face $0.435/M
OpenCode Go $0.435/M
Pioneer $0.435/M
DevPass (LLM Gateway) $0.435/M
Modelis $0.435/M
TokenGo $0.435/M
LLM Gateway $0.435/M
Kenari $0.571/M
Vercel AI Gateway $0.66/M
ZenMux $0.66/M
OrcaRouter $0.66/M
DeepSeek $0.66/M
ClinePass $0.66/M
Eden AI $0.66/M
Vancine $0.66/M
Tempr Gateway $0.66/M
CommandCode $0.66/M
NanoGPT $0.7/M
above.dev $0.726/M
UnoRouter $0.9/M
AI/ML API $0.9/M
ai& $1/M
Neuralwatt $1/M
Standard Compute $1.044/M
Fireworks AI $1.2/M
Deep Infra $1.3/M
Auriko $1.32/M
Merge Gateway $1.32/M
Ofox $1.32/M
Umans AI $1.32/M
Requesty $1.32/M
CrossModel $1.35/M
GMI Cloud $1.392/M
SiliconFlow $1.502/M
Novita AI $1.6/M
Kilo Gateway $1.6/M
Jalapeno Cloud $1.6/M
Alibaba (China) $1.65/M
EmpirioLabs AI $1.65/M
Venice AI $1.65/M
Cortecs $1.7/M
Vivgrid $1.74/M
DigitalOcean $1.74/M
Abacus $1.74/M
OpenCode $1.74/M
HPC-AI $1.74/M
FastRouter $1.74/M
Impossibl $1.74/M
Cloudflare AI Gateway $1.74/M
Arcee $1.74/M
Baseten $1.74/M
Nebius Token Factory $1.75/M
TensorX $1.75/M
Opper $1.788/M
Moark $1.8/M
Melious $1.855/M
Prime Inference $1.91/M
Charm Hyper $2.4/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 131.072K to 1.05M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
× Attachments No
× Vision input No
✓ Open weights Yes
Creator
DeepSeek
Model family
deepseek-thinking
Knowledge cutoff
2025-05
License
Not documented
Release date
2026-04-24
Model ID
deepseek/deepseek-v4-pro

Weights: Hugging Face ↗

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
IntelligenceIntelligence Index Coding IndexCoding Index Agentic IndexAgentic Index Design Arena: w…Design Arena: website Design Arena: g…Design Arena: gamedev Design Arena: c…Design Arena: codecategories Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Intelligence Index: 30.4 index (71.7th percentile) This model — Coding Index: 59.4 index (68.0th percentile) This model — Agentic Index: 26.3 index (63.2th percentile) This model — Design Arena: website: 1234 elo (57.2th percentile) This model — Design Arena: gamedev: 1229 elo (59.9th percentile) This model — Design Arena: codecategories: 1240 elo (58.0th percentile) This model — Design Arena: dataviz: 1203 elo (50.0th percentile) This model — Design Arena: uicomponent: 1216 elo (51.4th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Intelligence Index index Source ↗
Intelligence Index #94 of 334
Coding Index index Source ↗
Coding Index #69 of 214
Agentic Index index Source ↗
Agentic Index #74 of 201
Design Arena: website elo Source ↗
Design Arena: website #86 of 200
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #76 of 191
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #79 of 188
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #92 of 183
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #89 of 182
Design Arena: 3d elo Source ↗
Design Arena: 3d #54 of 176
Design Arena: svg elo Source ↗
Design Arena: svg #83 of 128
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #69 of 108
Design Arena: webapps elo Source ↗
Design Arena: webapps #80 of 80
Design Arena: fullstack elo Source ↗
Design Arena: fullstack #69 of 69
Design Arena: godotgamedev elo Source ↗
Design Arena: godotgamedev #50 of 55
SWE-Bench Verified resolved Source ↗
SWE-Bench Verified #5 of 32
Terminal-Bench — 2.1 pass@1 · Claude Code Source ↗
Terminal-Bench #5 of 7
Artificial Analysis Coding Agent Index average pass@1 · Claude Code Source ↗
Artificial Analysis Coding Agent Index #5 of 6
GDPval-AA Elo Source ↗
GDPval-AA #3 of 6
SWE-Atlas Codebase QnA pass@1 · Claude Code Source ↗
SWE-Atlas Codebase QnA #5 of 6
SWE-Bench Pro pass@1 · Claude Code Source ↗
SWE-Bench Pro #4 of 6
Terminal-Bench — 2.0 accuracy Source ↗
Terminal-Bench #1 of 4
Codeforces rating Source ↗
Codeforces #2 of 3
GPQA Diamond pass@1 Source ↗
GPQA Diamond #2 of 3
Humanity's Last Exam pass@1 Source ↗
Humanity's Last Exam #2 of 3
MathArena Apex pass@1 Source ↗
MathArena Apex #2 of 3
BrowseComp pass@1 Source ↗
83.4 2 models scored — too few for a distribution
Chinese SimpleQA pass@1 Source ↗
84.4 2 models scored — too few for a distribution
CorpusQA accuracy Source ↗
62.0 2 models scored — too few for a distribution
HMMT pass@1 Source ↗
95.2 2 models scored — too few for a distribution
IMOAnswerBench pass@1 Source ↗
89.8 2 models scored — too few for a distribution
LiveCodeBench pass@1 Source ↗
93.5 2 models scored — too few for a distribution
MCP Atlas pass@1 Source ↗
73.6 2 models scored — too few for a distribution
MMLU-Pro EM Source ↗
87.5 2 models scored — too few for a distribution
MRCR MMR Source ↗
83.5 2 models scored — too few for a distribution
MathArena Apex Shortlist pass@1 Source ↗
90.2 2 models scored — too few for a distribution
SWE-Bench Multilingual resolved Source ↗
76.2 2 models scored — too few for a distribution
SWE-Bench Pro resolved Source ↗
55.4 2 models scored — too few for a distribution
SimpleQA-Verified pass@1 Source ↗
57.9 2 models scored — too few for a distribution
Toolathlon pass@1 Source ↗
51.8 2 models scored — too few for a distribution

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Intelligence Index, the benchmark with the widest published coverage that this model appears in.

0 31 61 $0.01 $0.1 $1 $10 $100 Nova 2 Lite — $0.3/M, score 13.4 Nova Lite 1.0 — $0.059/M, score 6.7 Nova Micro 1.0 — $0.035/M, score 5.9 Amazon: Nova Premier 1.0 — $2.5/M, score 9.2 Nova Pro 1.0 — $0.799/M, score 7.0 Claude Fable 5 — $10/M, score 49.6 Anthropic: Claude Fable 5.1 — $10/M, score 53.4 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 53.4 Anthropic: Claude Fable 5 (batch) — $5/M, score 49.6 Anthropic: Claude Haiku 4.5 — $1/M, score 16.9 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 16.9 Anthropic: Claude Haiku 5.5 — $0.1/M, score 43.4 Anthropic: Claude Haiku 5.5 (batch) — $0.05/M, score 43.4 Anthropic: Claude Opus 4.1 — $15/M, score 22.8 Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 22.8 Anthropic: Claude Opus 4.5 — $5/M, score 29.1 Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 29.1 Anthropic: Claude Opus 4.6 — $5/M, score 31.9 Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 31.9 Anthropic: Claude Opus 4.7 — $5/M, score 40.7 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 40.7 Anthropic: Claude Opus 4.8 — $5/M, score 41.8 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 41.8 Claude Opus 5 — $5/M, score 50.8 Anthropic: Claude Opus 5.5 — $4/M, score 57.6 Anthropic: Claude Opus 5.5 (batch) — $2/M, score 57.6 Anthropic: Claude Opus 5 (batch) — $2.5/M, score 50.8 Anthropic: Claude Sonnet 4 — $3/M, score 18.9 Anthropic: Claude Sonnet 4.5 — $3/M, score 20.7 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 20.7 Anthropic: Claude Sonnet 4.6 — $3/M, score 30.1 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 30.1 Claude Sonnet 5 — $2/M, score 38.2 Anthropic: Claude Sonnet 5.5 — $2/M, score 56.0 Anthropic: Claude Sonnet 5.5 (batch) — $1/M, score 56.0 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 38.2 Trinity Large Thinking — $0.25/M, score 10.8 Command A — $2.5/M, score 13.1 DeepSeek V3 0324 — $0.2/M, score 9.7 DeepSeek V3.1 — $0.19/M, score 13.7 DeepSeek-R1 — $0.58/M, score 11.4 DeepSeek R1 0528 — $0.2/M, score 13.1 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 14.8 DeepSeek V3.2 — $0.209/M, score 21.5 DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 16.6 DeepSeek V4 Flash — $0.15/M, score 24.4 DeepSeek V4 Flash 0731 — $0.035/M, score 34.3 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 34.3 DeepSeek V4 Flash Vision Exp — $0.15/M, score 34.8 DeepSeek V4 Pro — $0.66/M, score 30.4 DeepSeek V4 Pro 0813 — $0.132/M, score 36.0 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 36.0 DeepSeek V4.1 Flash — $0.02/M, score 24.7 DeepSeek V4.1 Flash 1017 — $0.15/M, score 39.5 DeepSeek: DeepSeek V4.1 Flash (batch) — $0.05/M, score 24.7 Gemini 2.5 Flash — $0.3/M, score 15.5 Gemini 2.5 Flash-Lite — $0.1/M, score 10.4 Google: Gemini 2.5 Flash Lite (batch) — $0.05/M, score 10.4 Google: Gemini 2.5 Flash (batch) — $0.15/M, score 15.5 Gemini 2.5 Pro — $1.25/M, score 16.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 16.1 Gemini 3 Flash Preview — $0.5/M, score 26.3 Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 26.3 Gemini 3.1 Flash Lite Preview — $0.25/M, score 15.6 Gemini 3.1 Pro Preview — $2/M, score 29.7 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 29.7 Gemini 3.5 Flash — $1.5/M, score 33.6 Gemini 3.5 Flash Lite — $0.3/M, score 22.2 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 22.2 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 33.6 Gemini 3.6 Flash — $0.75/M, score 34.0 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 34.0 Gemini 3.7 Flash — $0.75/M, score 39.6 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 39.6 Gemini 3.8 Flash — $0.75/M, score 40.9 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 40.9 Gemini 4 Argon — $2/M, score 52.6 Google: Gemini 4 Argon (batch) — $1/M, score 52.6 Gemma 3 12B IT — $0.04/M, score 3.8 Gemma 3 27B IT — $0.08/M, score 4.9 Gemma 3 4B IT — $0.04/M, score 4.8 Gemma 4 26B A4B IT — $0.042/M, score 16.7 Gemma 4 31B IT — $0.1/M, score 14.7 Google: Gemma 4 31B (batch) — $0.39/M, score 15.4 IBM: Granite 4.0 Micro — $0.017/M, score 5.1 IBM: Granite 4.2 8B — $0.06/M, score 11.1 Mercury 2 — $0.25/M, score 10.8 Mercury 2.5 — $0.2/M, score 12.3 inclusionAI: Ling-2.6-flash — $0.01/M, score 14.2 Ling 3.0 Flash — $0.021/M, score 20.1 Ling 3.0 Flash Fin — $0.075/M, score 22.6 Ling 3.0 Flash VL — $0.06/M, score 24.6 Ling 3.1 Flash — $0.075/M, score 41.1 inclusionAI: Ring-2.6-1T — $0.075/M, score 31.1 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 33.7 LongCat-2.0 — $0.3/M, score 19.1 Meta: Llama 3.1 70B Instruct — $0.4/M, score 6.6 Meta: Llama 3.1 8B Instruct — $0.05/M, score 6.9 Meta: Llama 3.2 1B Instruct — $0.027/M, score 4.8 Meta: Llama 3.2 3B Instruct — $0.051/M, score 5.7 Meta: Llama 3.3 70B Instruct — $0.1/M, score 7.7 Meta: Llama 4 Maverick — $0.188/M, score 9.3 Meta: Llama 4 Scout — $0.1/M, score 6.5 Muse Glimmer 30B — $0.2/M, score 17.5 Muse Spark 1.1 — $1.25/M, score 33.7 Muse Spark 1.2 — $1.25/M, score 39.6 Muse Spark 1.3 — $1.25/M, score 48.1 Microsoft: Phi 4 — $0.07/M, score 5.9 MiniMax: MiniMax M1 — $0.55/M, score 11.7 MiniMax: MiniMax M2 — $0.255/M, score 18.6 MiniMax: MiniMax M2.1 — $0.3/M, score 20.9 MiniMax: MiniMax M2.5 — $0.3/M, score 22.8 MiniMax: MiniMax M2.7 — $0.3/M, score 22.8 MiniMax: MiniMax M3 — $0.3/M, score 29.2 MiniMax: MiniMax M3.1 Flash — $0.15/M, score 42.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 29.2 Mistral: Devstral 2 2512 — $0.4/M, score 8.6 Mistral: Ministral 3 14B 2512 — $0.2/M, score 6.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Mistral: Ministral 3 8B 2512 — $0.15/M, score 5.5 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 5.5 Mistral Large — $2/M, score 5.8 Mistral Large 2407 — $2/M, score 7.6 Mistral: Mistral Large 3 2512 — $0.5/M, score 9.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 9.3 Mistral: Mistral Large 4 — $1.36/M, score 38.4 Mistral: Mistral Medium 3 — $0.4/M, score 9.0 Mistral: Mistral Medium 3.5 — $1.5/M, score 14.2 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 14.2 Mistral: Mistral Medium 3.1 — $0.4/M, score 9.2 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 9.2 Mistral: Saba — $0.2/M, score 6.5 Mistral: Mistral Small 3 — $0.05/M, score 6.7 Mistral: Mistral Small 4 — $0.15/M, score 11.3 Mistral: Mistral Small 4 (batch) — $0.075/M, score 11.3 Mistral: Mixtral 8x22B Instruct — $2/M, score 5.7 Kimi K2 0711 — $0.4/M, score 12.7 Kimi K2 Instruct 0905 — $0.6/M, score 15.3 Kimi K2 Thinking — $0.4/M, score 22.0 Kimi K2.5 — $0.375/M, score 23.5 Kimi K2.6 — $0.95/M, score 27.0 Kimi K2.7 Code — $0.95/M, score 25.8 MoonshotAI: Kimi K2.7 Code (batch) — $0.475/M, score 43.0 Kimi K3 — $3/M, score 43.6 Kimi K3.1 Pro — $2/M, score 55.1 MoonshotAI: Kimi K3 (batch) — $2.28/M, score 43.6 Nex-N2-Pro — $0.5/M, score 41.7 Hermes 3 405B Instruct — $1/M, score 7.4 Hermes 3 70B Instruct — $0.7/M, score 6.7 Hermes 4 405B — $0.996/M, score 7.5 Nemotron 3 Nano 30B A3B — $0.05/M, score 8.9 Nemotron 3 Super 120B A12B — $0.05/M, score 12.8 Nemotron 3 Ultra 550B A55B — $0.1/M, score 22.9 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 38.3 Nemotron 3.5 Lightning 30B A3B — $0.025/M, score 12.9 NVIDIA: Nemotron 3.5 Super VL — $0.15/M, score 26.5 GPT-3.5-turbo — $0.5/M, score 5.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 5.5 GPT-4 — $30/M, score 6.7 GPT-4 Turbo — $10/M, score 7.0 OpenAI: GPT-4 Turbo (batch) — $5/M, score 7.0 GPT-4.1 — $2/M, score 12.7 GPT-4.1 mini — $0.4/M, score 10.2 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 10.2 GPT-4.1 nano — $0.1/M, score 7.8 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 7.8 OpenAI: GPT-4.1 (batch) — $1/M, score 12.7 GPT-4o (2024-05-13) — $5/M, score 7.3 GPT-4o (2024-08-06) — $2.5/M, score 7.7 GPT-4o (2024-11-20) — $2.5/M, score 8.4 GPT-4o mini — $0.15/M, score 6.7 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 6.7 GPT-5 — $1.25/M, score 23.0 GPT-5 Mini — $0.25/M, score 20.6 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 20.6 GPT-5 Nano — $0.05/M, score 13.0 OpenAI: GPT-5 Nano (batch) — $0.025/M, score 13.0 GPT-5.1 — $1.25/M, score 24.7 GPT-5.1 Codex — $1.07/M, score 23.7 GPT-5.1 Codex mini — $0.22/M, score 20.4 OpenAI: GPT-5.1 (batch) — $0.625/M, score 24.7 GPT-5.2 — $1.75/M, score 30.4 GPT-5.2 Codex — $0.14/M, score 28.5 OpenAI: GPT-5.2 (batch) — $0.875/M, score 30.4 GPT-5.3 Codex — $1.75/M, score 32.5 GPT-5.4 — $2.5/M, score 39.0 GPT-5.4 mini — $0.75/M, score 24.1 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 24.1 GPT-5.4 nano — $0.2/M, score 20.7 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 20.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 39.0 GPT-5.5 — $5/M, score 38.4 OpenAI: GPT-5.5 (batch) — $2.5/M, score 38.4 GPT-5.6 Luna — $0.2/M, score 37.3 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 37.3 GPT-5.6 Sol — $4/M, score 47.0 OpenAI: GPT-5.6 Sol (batch) — $2/M, score 47.0 GPT-5.6 Terra — $2/M, score 42.1 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 42.1 OpenAI: GPT-5 (batch) — $0.625/M, score 23.0 GPT-6 Astra — $10/M, score 52.7 OpenAI: GPT-6 Astra (batch) — $5/M, score 52.7 GPT-6 Luna — $0.1/M, score 38.1 OpenAI: GPT-6 Luna (batch) — $0.05/M, score 38.1 GPT-6 Sol — $2/M, score 47.6 OpenAI: GPT-6 Sol (batch) — $1/M, score 47.6 GPT-6.1 Sol — $2/M, score 51.8 OpenAI: GPT-6.1 Sol (batch) — $1/M, score 51.8 GPT OSS 120B — $0.03/M, score 11.6 OpenAI: gpt-oss-120b (batch) — $0.03/M, score 11.6 GPT OSS 20B — $0.018/M, score 10.0 OpenAI: gpt-oss-20b (batch) — $0.024/M, score 10.0 o1 — $15/M, score 15.2 o1-pro — $150/M, score 12.4 o3 — $2/M, score 20.2 o3-mini — $1.1/M, score 12.5 OpenAI: o3 Mini High — $1.1/M, score 11.0 OpenAI: o3 Mini High (batch) — $0.55/M, score 15.7 OpenAI: o3 Mini (batch) — $0.55/M, score 12.5 o3-pro — $20/M, score 21.9 OpenAI: o3 (batch) — $1/M, score 20.2 o4-mini — $1.1/M, score 16.7 OpenAI: o4 Mini (batch) — $0.55/M, score 16.7 Sonar — $1/M, score 7.7 Sonar Pro — $3/M, score 7.6 Sonar Reasoning Pro — $2/M, score 11.8 Qwen2.5 72B Instruct — $0.36/M, score 7.7 Qwen2.5 Coder 32B Instruct — $0.66/M, score 6.7 Qwen: Qwen3 14B — $0.12/M, score 6.7 Qwen: Qwen3 235B A22B — $0.455/M, score 9.5 Qwen: Qwen3 235B A22B Instruct 2507 — $0.09/M, score 12.0 Qwen: Qwen3 235B A22B Thinking 2507 — $0.45/M, score 12.7 Qwen: Qwen3 30B A3B — $0.12/M, score 7.6 Qwen: Qwen3 30B A3B Instruct 2507 — $0.09/M, score 7.5 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 9.8 Qwen: Qwen3 32B — $0.08/M, score 7.3 Qwen: Qwen3 8B — $0.117/M, score 7.3 Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 11.9 Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 9.6 Qwen: Qwen3 Coder Next — $0.12/M, score 9.2 Qwen: Qwen3 Max — $0.78/M, score 15.6 Qwen: Qwen3 Max Thinking — $0.78/M, score 21.3 Qwen: Qwen3 Next 80B A3B Instruct — $0.09/M, score 9.6 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 11.2 Qwen: Qwen3 VL 235B A22B Instruct — $0.21/M, score 9.9 Qwen: Qwen3 VL 235B A22B Thinking — $0.4/M, score 13.4 Qwen: Qwen3 VL 30B A3B Instruct — $0.15/M, score 7.9 Qwen: Qwen3 VL 30B A3B Thinking — $0.29/M, score 9.5 Qwen: Qwen3 VL 32B Instruct — $0.104/M, score 11.9 Qwen: Qwen3 VL 8B Instruct — $0.25/M, score 7.3 Qwen: Qwen3 VL 8B Thinking — $0.18/M, score 8.2 Qwen: Qwen3.5-122B-A10B — $0.4/M, score 17.7 Qwen: Qwen3.5-27B — $0.27/M, score 22.9 Qwen: Qwen3.5-35B-A3B — $0.14/M, score 19.3 Qwen: Qwen3.5 397B A17B — $0.5/M, score 21.4 Qwen: Qwen3.5-9B — $0.17/M, score 13.3 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 21.8 Qwen: Qwen3.6 27B — $0.25/M, score 21.4 Qwen: Qwen3.6 35B A3B — $0.1/M, score 18.2 Qwen: Qwen3.6 Max Preview — $1.027/M, score 28.4 Qwen: Qwen3.6 Plus — $0.325/M, score 27.0 Qwen: Qwen3.7 Max — $1.475/M, score 29.5 Qwen: Qwen3.7 Plus — $0.32/M, score 25.2 Qwen: Qwen3.7 Plus (batch) — $0.23/M, score 25.2 Qwen: Qwen3.8 2.4T A95B — $2/M, score 39.9 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 39.9 Qwen: Qwen3.8 27B — $0.2/M, score 33.7 Qwen: Qwen3.8 Max — $2/M, score 53.4 Qwen: Qwen3.8 Max (0902) — $2/M, score 45.4 Reka Flash 3 — $0.1/M, score 6.4 Step 3.5 Flash — $0.105/M, score 17.0 Step 3.7 Flash — $0.202/M, score 19.5 Step 5 Preview — $1.046/M, score 43.7 Hy3 preview — $0.18/M, score 25.3 Inkling — $1/M, score 25.0 Inkling Small — $0.3/M, score 25.7 Thinking Machines: Inkling Small (batch) — $0.5/M, score 26.1 Thinking Machines: Inkling (batch) — $1/M, score 25.0 Solar Mini 4 — $0.1/M, score 24.1 Upstage: Solar Pro 3 — $0.15/M, score 7.8 Solar Pro 4 — $0.3/M, score 28.2 SpaceXAI: Grok 4.20 — $1.25/M, score 25.7 SpaceXAI: Grok 4.3 — $1.25/M, score 24.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 24.9 SpaceXAI: Grok 4.5 — $2/M, score 38.8 SpaceXAI: Grok 4.6 — $2/M, score 44.3 SpaceXAI: Grok 4.7 — $2/M, score 46.4 SpaceXAI: Grok Build 0.1 — $1/M, score 27.2 MiMo-V2.5 — $0.14/M, score 21.8 MiMo-V2.5-Pro — $0.435/M, score 26.0 MiMo-V2.6-Flash — $0.14/M, score 37.9 MiMo-V2.6-Pro — $0.435/M, score 46.3 Z.ai: GLM 4.5 — $0.6/M, score 12.8 Z.ai: GLM 4.5 Air — $0.13/M, score 11.1 Z.ai: GLM 4.5V — $0.6/M, score 7.6 Z.ai: GLM 4.6 — $0.55/M, score 18.5 Z.ai: GLM 4.6V — $0.3/M, score 11.2 Z.ai: GLM 4.7 — $0.54/M, score 22.2 Z.ai: GLM 4.7 Flash — $0.061/M, score 14.9 Z.ai: GLM 5 — $1/M, score 27.9 Z.ai: GLM 5 Turbo — $1.2/M, score 26.6 Z.ai: GLM 5.1 — $1.4/M, score 26.1 Z.ai: GLM 5.2 — $0.034/M, score 33.7 Z.ai: GLM 5.2 (batch) — $0.7/M, score 33.7 Z.ai: GLM 5.3 — $0.079/M, score 44.8 Z.ai: GLM 5.3 Flash — $0.15/M, score 41.8 Z.ai: GLM 5.3 Flash (batch) — $0.05/M, score 41.8 Z.ai: GLM 5.3 (batch) — $0.45/M, score 44.8 Z.ai: GLM 5V Turbo — $1.2/M, score 23.5 DeepSeek V4 Pro Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Context Length1024000 → 1000000
Price Completion0.41759999999999997 → 1.98
Price Prompt0.20879999999999999 → 0.66
Context Length1000000 → 1024000
Price Completion1.98 → 0.41759999999999997
Price Prompt0.66 → 0.20879999999999999
Context Length1024000 → 1000000
Price Completion0.41759999999999997 → 1.98
Price Prompt0.20879999999999999 → 0.66
Context Length1000000 → 1024000
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://modelbench.lol/api/v1/models/deepseek/deepseek-v4-pro
curl
curl "https://modelbench.lol/api/v1/models/deepseek/deepseek-v4-pro"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is DeepSeek V4 Pro?

Open MoE flagship with million-token context for coding and long agent runs. It is published by DeepSeek and catalogued here from Models.dev.

How much does DeepSeek V4 Pro cost?

Listed input pricing starts at $0.209 per million tokens from OpenRouter, rising to $2.4 across 62 listed providers.

What is the context length of DeepSeek V4 Pro?

DeepSeek V4 Pro accepts up to 1M tokens of context and returns up to 384K output tokens.

Does DeepSeek V4 Pro support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, and reasoning.

Which providers serve DeepSeek V4 Pro?

71 providers list this model: Alibaba Token Plan (China), AnyAPI, Model Oracle AI, Nvidia, UnoRouter, Alibaba Token Plan and 65 more.

Are the weights for DeepSeek V4 Pro open?

Yes. The weights are published and downloadable from Hugging Face.

When was DeepSeek V4 Pro released?

The catalog records a release date of 2026-04-24, last verified Oct 24, 2026.

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