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DeepSeek: DeepSeek V4.1 Flash 1017

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

Source-linked deepseek-flash Open weights MIT Released 2026-10-17
API record Report
InputT
OutputT
Input price$0.15/M
Output price$0.60/M
Context1M
Max output384K
Providers31
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 V4.1 Flash 1017
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Alibaba Token Plan (China) deepseek-v4.1-flash-1017 1M 384K — — — ReasoningToolsJSON Docs ↗
Alibaba Token Plan deepseek-v4.1-flash-1017 1M 384K — — — ReasoningTools Docs ↗
Umans AI Coding Plan umans-deepseek-v4.1-flash-1017 1.05M 393K — — — ReasoningToolsJSON Docs ↗
engy deepseek-v4.1-flash-1017 1.05M 65.5K $0.03 $0.12 $0.006 ReasoningToolsJSON Docs ↗
Vercel AI Gateway deepseek/deepseek-v4.1-flash-1017 1.05M 1.05M $0.07 $0.30 $0.0015 ReasoningToolsJSON Docs ↗
NanoGPT deepseek/deepseek-v4.1-flash-1017 1.05M 393K $0.10 $0.60 $0.003 ReasoningToolsJSON Docs ↗
DeepSeek deepseek-flash 1.05M 393K $0.15 $0.60 $0.003 ReasoningToolsJSON Docs ↗
LLM Gateway deepseek/deepseek-v4.1-flash-1017 1.05M 393K $0.15 $0.60 $0.003 ReasoningTools Docs ↗
OpenRouter deepseek/deepseek-v4.1-flash-1017 1.05M 393K $0.15 $0.60 $0.003 ReasoningToolsJSON Docs ↗
Ollama Cloud deepseek-v4.1-flash:1017 1.05M 384K $0.15 $0.60 $0.003 ReasoningTools Docs ↗
Merge Gateway deepseek/deepseek-v4.1-flash-1017 1M 384K $0.15 $0.60 $0.003 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) deepseek-v4.1-flash-1017 1.05M 1.05M $0.15 $0.60 $0.003 ReasoningTools Docs ↗
Umans AI umans-deepseek-v4.1-flash-1017 1.05M 393K $0.15 $0.60 $0.03 ReasoningToolsJSON Docs ↗
Deep Infra deepseek-ai/DeepSeek-V4.1-Flash-1017 1.05M 384K $0.20 $0.60 $0.006 ReasoningToolsJSON Docs ↗
Cortecs deepseek-v4.1-flash-1017 1.05M 1.05M $0.28 $1.11 $0.11 ReasoningToolsJSON Docs ↗
Baseten deepseek-ai/DeepSeek-V4.1-Flash-1017 1.05M 262K $0.30 $1.20 $0.007 ReasoningToolsJSON Docs ↗
Kilo Gateway deepseek/deepseek-v4.1-flash-1017 1.05M 393K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
Prime Inference deepseek/deepseek-v4.1-flash-1017 1.05M 131K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
EmpirioLabs AI deepseek-v4-1-flash-1017 1M 393K $0.30 $1.20 $0.30 ReasoningToolsJSON Docs ↗
Fireworks AI accounts/fireworks/models/deepseek-v4p1-flash-1017 1M 384K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
Ofox deepseek/deepseek-v4.1-flash-1017 1M 384K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
Novita AI deepseek/deepseek-v4.1-flash-1017 1.05M 393K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
Hugging Face deepseek-ai/DeepSeek-V4.1-Flash-1017 1.05M 384K $0.30 $1.20 — ReasoningToolsJSON Docs ↗
NEAR AI Cloud deepseek/deepseek-v4.1-flash-1017 1M 384K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
Arcee deepseek/deepseek-v4.1-flash-1017 1M 384K $0.30 $1.20 $0.006 ReasoningToolsJSON Docs ↗
DigitalOcean deepseek-v4.1-flash-1017 1.05M 1.05M $0.30 $1.20 $0.006 ReasoningTools Docs ↗
Charm Hyper deepseek-v4.1-flash-1017 1M 262K $0.33 $1.31 $0.03 ReasoningToolsJSON Docs ↗
Melious deepseek-v4.1-flash-1017 1M 384K $0.34 $1.35 $0.03 ReasoningToolsJSON Docs ↗
Requesty deepseek-v4.1-flash-1017 1.05M 393K $0.50 $1.50 $0.05 ReasoningToolsJSON Docs ↗
Synthetic hf:deepseek-ai/DeepSeek-V4.1-Flash-1017 524K 65.5K $0.60 $1.20 $0.03 ReasoningToolsJSON Docs ↗
Thinking Machines deepseek-ai/DeepSeek-V4.1-Flash-1017:peft:262144 262K 262K $0.60 $3.60 $0.12 ReasoningTools 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 $0.03/M

Across 28 priced providers

Median input $0.30/M

Midpoint of listed rates

Highest input $0.60/M

20.0× the lowest listed rate

Output range $0.12 – $3.60

Per million output tokens

engy $0.03/MLowest
Vercel AI Gateway $0.07/M
NanoGPT $0.10/M
DeepSeek $0.15/M
LLM Gateway $0.15/M
OpenRouter $0.15/M
Ollama Cloud $0.15/M
Merge Gateway $0.15/M
DevPass (LLM Gateway) $0.15/M
Umans AI $0.15/M
Deep Infra $0.20/M
Cortecs $0.28/M
Baseten $0.30/M
Kilo Gateway $0.30/M
Prime Inference $0.30/M
EmpirioLabs AI $0.30/M
Fireworks AI $0.30/M
Ofox $0.30/M
Novita AI $0.30/M
Hugging Face $0.30/M
NEAR AI Cloud $0.30/M
Arcee $0.30/M
DigitalOcean $0.30/M
Charm Hyper $0.33/M
Melious $0.34/M
Requesty $0.50/M
Synthetic $0.60/M
Thinking Machines $0.60/M
Cost calculator

Estimate a workload

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

Context limits also differ by provider, from 262K 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 Yes
✓ Vision input Yes
✓ Open weights Yes
Creator
DeepSeek
Model family
deepseek-flash
Knowledge cutoff
2025-05
License
MIT
Release date
2026-10-17
Model ID
deepseek/deepseek-v4.1-flash-1017

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 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 Design Arena: 3dDesign Arena: 3d Design Arena: s…Design Arena: svg This model — Intelligence Index: 39.5 index (83.7th percentile) This model — Design Arena: website: 1309 elo (91.2th percentile) This model — Design Arena: gamedev: 1295 elo (82.2th percentile) This model — Design Arena: codecategories: 1296 elo (83.2th percentile) This model — Design Arena: dataviz: 1295 elo (86.1th percentile) This model — Design Arena: uicomponent: 1313 elo (88.2th percentile) This model — Design Arena: 3d: 1351 elo (91.2th percentile) This model — Design Arena: svg: 1238 elo (77.7th 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 #55 of 334
Design Arena: website elo Source ↗
Design Arena: website #18 of 200
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #34 of 191
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #32 of 188
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #26 of 183
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #21 of 182
Design Arena: 3d elo Source ↗
Design Arena: 3d #16 of 176
Design Arena: svg elo Source ↗
Design Arena: svg #29 of 128
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #35 of 108
Design Arena: spreadsheet elo Source ↗
Design Arena: spreadsheet #10 of 31
Agents' Last Exam score Source ↗
Agents' Last Exam #8 of 14
Humanity's Last Exam score Source ↗
Humanity's Last Exam #8 of 12
AutomationBench — 1.0.6 score Source ↗
AutomationBench #1 of 5
Chartography score Source ↗
Chartography #2 of 4
ProgramBench score Source ↗
ProgramBench #1 of 4
BabyVision score Source ↗
BabyVision #1 of 3
ZeroBench pass@5 Source ↗
ZeroBench #1 of 3
NL2Repo score Source ↗
68.2 2 models scored — too few for a distribution
Apex Bench — 1.1 score Source ↗
72.1 1 model scored — too few for a distribution
DeepSWE — 1.1 score · Mini-SWE-V2 Source ↗
77.0 1 model scored — too few for a distribution
Terminal-Bench — 4.0 score · Claude Code Source ↗
42.3 1 model 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 — $0.30/M, score 13.4 Nova Lite 1.0 — $0.06/M, score 6.7 Nova Micro 1.0 — $0.04/M, score 5.9 Amazon: Nova Premier 1.0 — $2.50/M, score 9.2 Nova Pro 1.0 — $0.80/M, score 7.0 Claude Fable 5 — $10.00/M, score 49.6 Anthropic: Claude Fable 5.1 — $10.00/M, score 53.4 Anthropic: Claude Fable 5.1 (batch) — $5.00/M, score 53.4 Anthropic: Claude Fable 5 (batch) — $5.00/M, score 49.6 Anthropic: Claude Haiku 4.5 — $1.00/M, score 16.9 Anthropic: Claude Haiku 4.5 (batch) — $0.50/M, score 16.9 Anthropic: Claude Haiku 5.5 — $0.10/M, score 43.4 Anthropic: Claude Haiku 5.5 (batch) — $0.05/M, score 43.4 Anthropic: Claude Opus 4.1 — $15.00/M, score 22.8 Anthropic: Claude Opus 4.1 (batch) — $7.50/M, score 22.8 Anthropic: Claude Opus 4.5 — $5.00/M, score 29.1 Anthropic: Claude Opus 4.5 (batch) — $2.50/M, score 29.1 Anthropic: Claude Opus 4.6 — $5.00/M, score 31.9 Anthropic: Claude Opus 4.6 (batch) — $2.50/M, score 31.9 Anthropic: Claude Opus 4.7 — $5.00/M, score 40.7 Anthropic: Claude Opus 4.7 (batch) — $2.50/M, score 40.7 Anthropic: Claude Opus 4.8 — $5.00/M, score 41.8 Anthropic: Claude Opus 4.8 (batch) — $2.50/M, score 41.8 Claude Opus 5 — $5.00/M, score 50.8 Anthropic: Claude Opus 5.5 — $4.00/M, score 57.6 Anthropic: Claude Opus 5.5 (batch) — $2.00/M, score 57.6 Anthropic: Claude Opus 5 (batch) — $2.50/M, score 50.8 Anthropic: Claude Sonnet 4 — $3.00/M, score 18.9 Anthropic: Claude Sonnet 4.5 — $3.00/M, score 20.7 Anthropic: Claude Sonnet 4.5 (batch) — $1.50/M, score 20.7 Anthropic: Claude Sonnet 4.6 — $3.00/M, score 30.1 Anthropic: Claude Sonnet 4.6 (batch) — $1.50/M, score 30.1 Claude Sonnet 5 — $2.00/M, score 38.2 Anthropic: Claude Sonnet 5.5 — $2.00/M, score 56.0 Anthropic: Claude Sonnet 5.5 (batch) — $1.00/M, score 56.0 Anthropic: Claude Sonnet 5 (batch) — $1.00/M, score 38.2 Trinity Large Thinking — $0.25/M, score 10.8 Command A — $2.50/M, score 13.1 DeepSeek V3 0324 — $0.29/M, score 9.7 DeepSeek V3.1 — $0.19/M, score 13.7 DeepSeek-R1 — $0.58/M, score 11.4 DeepSeek R1 0528 — $0.20/M, score 13.1 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 14.8 DeepSeek V3.2 — $0.21/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 — $0.04/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 — $0.13/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 — $0.30/M, score 15.5 Gemini 2.5 Flash-Lite — $0.10/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) — $0.62/M, score 16.1 Gemini 3 Flash Preview — $0.50/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 — $2.00/M, score 29.7 Google: Gemini 3.1 Pro Preview (batch) — $1.00/M, score 29.7 Gemini 3.5 Flash — $1.50/M, score 33.6 Gemini 3.5 Flash Lite — $0.30/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) — $0.38/M, score 34.0 Gemini 3.7 Flash — $0.75/M, score 39.6 Google: Gemini 3.7 Flash (batch) — $0.38/M, score 39.6 Gemini 3.8 Flash — $0.75/M, score 40.9 Google: Gemini 3.8 Flash (batch) — $0.38/M, score 40.9 Gemini 4 Argon — $2.00/M, score 52.6 Google: Gemini 4 Argon (batch) — $1.00/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 — $0.04/M, score 16.7 Gemma 4 31B IT — $0.10/M, score 14.7 Google: Gemma 4 31B (batch) — $0.39/M, score 15.4 IBM: Granite 4.0 Micro — $0.02/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 — $0.20/M, score 12.3 inclusionAI: Ling-2.6-flash — $0.01/M, score 14.2 Ling 3.0 Flash — $0.02/M, score 20.1 Ling 3.0 Flash Fin — $0.07/M, score 22.6 Ling 3.0 Flash VL — $0.06/M, score 24.6 Ling 3.1 Flash — $0.07/M, score 41.1 inclusionAI: Ring-2.6-1T — $0.07/M, score 31.1 Kwaipilot: KAT-Coder-Pro V2 — $0.30/M, score 33.7 LongCat-2.0 — $0.30/M, score 19.1 Meta: Llama 3.1 70B Instruct — $0.40/M, score 6.6 Meta: Llama 3.1 8B Instruct — $0.05/M, score 6.9 Meta: Llama 3.2 1B Instruct — $0.03/M, score 4.8 Meta: Llama 3.2 3B Instruct — $0.05/M, score 5.7 Meta: Llama 3.3 70B Instruct — $0.10/M, score 7.7 Meta: Llama 4 Maverick — $0.19/M, score 9.3 Meta: Llama 4 Scout — $0.10/M, score 6.5 Muse Glimmer 30B — $0.20/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 — $0.26/M, score 18.6 MiniMax: MiniMax M2.1 — $0.30/M, score 20.9 MiniMax: MiniMax M2.5 — $0.30/M, score 22.8 MiniMax: MiniMax M2.7 — $0.30/M, score 22.8 MiniMax: MiniMax M3 — $0.30/M, score 29.2 MiniMax: MiniMax M3.1 Flash — $0.15/M, score 42.7 MiniMax: MiniMax M3 (batch) — $0.30/M, score 29.2 Mistral: Devstral 2 2512 — $0.40/M, score 8.6 Mistral: Ministral 3 14B 2512 — $0.20/M, score 6.0 Mistral: Ministral 3 3B 2512 — $0.10/M, score 4.8 Mistral: Ministral 3 8B 2512 — $0.15/M, score 5.5 Mistral: Ministral 3 8B 2512 (batch) — $0.07/M, score 5.5 Mistral Large — $2.00/M, score 5.8 Mistral Large 2407 — $2.00/M, score 7.6 Mistral: Mistral Large 3 2512 — $0.50/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 — $0.40/M, score 9.0 Mistral: Mistral Medium 3.5 — $1.50/M, score 14.2 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 14.2 Mistral: Mistral Medium 3.1 — $0.40/M, score 9.2 Mistral: Mistral Medium 3.1 (batch) — $0.20/M, score 9.2 Mistral: Saba — $0.20/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) — $0.07/M, score 11.3 Mistral: Mixtral 8x22B Instruct — $2.00/M, score 5.7 Kimi K2 0711 — $0.40/M, score 12.7 Kimi K2 Instruct 0905 — $0.60/M, score 15.3 Kimi K2 Thinking — $0.40/M, score 22.0 Kimi K2.5 — $0.38/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) — $0.47/M, score 43.0 Kimi K3 — $3.00/M, score 43.6 Kimi K3.1 Pro — $2.00/M, score 55.1 MoonshotAI: Kimi K3 (batch) — $2.28/M, score 43.6 Nex-N2-Pro — $0.50/M, score 41.7 Hermes 3 405B Instruct — $1.00/M, score 7.4 Hermes 3 70B Instruct — $0.70/M, score 6.7 Hermes 4 405B — $1.00/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 — $0.10/M, score 22.9 NVIDIA: Nemotron 3 Ultra (batch) — $0.60/M, score 38.3 Nemotron 3.5 Lightning 30B A3B — $0.03/M, score 12.9 NVIDIA: Nemotron 3.5 Super VL — $0.15/M, score 26.5 GPT-3.5-turbo — $0.50/M, score 5.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 5.5 GPT-4 — $30.00/M, score 6.7 GPT-4 Turbo — $10.00/M, score 7.0 OpenAI: GPT-4 Turbo (batch) — $5.00/M, score 7.0 GPT-4.1 — $2.00/M, score 12.7 GPT-4.1 mini — $0.40/M, score 10.2 OpenAI: GPT-4.1 Mini (batch) — $0.20/M, score 10.2 GPT-4.1 nano — $0.10/M, score 7.8 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 7.8 OpenAI: GPT-4.1 (batch) — $1.00/M, score 12.7 GPT-4o (2024-05-13) — $5.00/M, score 7.3 GPT-4o (2024-08-06) — $2.50/M, score 7.7 GPT-4o (2024-11-20) — $2.50/M, score 8.4 GPT-4o mini — $0.15/M, score 6.7 OpenAI: GPT-4o-mini (batch) — $0.07/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) — $0.12/M, score 20.6 GPT-5 Nano — $0.05/M, score 13.0 OpenAI: GPT-5 Nano (batch) — $0.02/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) — $0.62/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) — $0.88/M, score 30.4 GPT-5.3 Codex — $1.75/M, score 32.5 GPT-5.4 — $2.50/M, score 39.0 GPT-5.4 mini — $0.75/M, score 24.1 OpenAI: GPT-5.4 Mini (batch) — $0.38/M, score 24.1 GPT-5.4 nano — $0.20/M, score 20.7 OpenAI: GPT-5.4 Nano (batch) — $0.10/M, score 20.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 39.0 GPT-5.5 — $5.00/M, score 38.4 OpenAI: GPT-5.5 (batch) — $2.50/M, score 38.4 GPT-5.6 Luna — $0.20/M, score 37.3 OpenAI: GPT-5.6 Luna (batch) — $0.10/M, score 37.3 GPT-5.6 Sol — $4.00/M, score 47.0 OpenAI: GPT-5.6 Sol (batch) — $2.00/M, score 47.0 GPT-5.6 Terra — $2.00/M, score 42.1 OpenAI: GPT-5.6 Terra (batch) — $1.00/M, score 42.1 OpenAI: GPT-5 (batch) — $0.62/M, score 23.0 GPT-6 Astra — $10.00/M, score 52.7 OpenAI: GPT-6 Astra (batch) — $5.00/M, score 52.7 GPT-6 Luna — $0.10/M, score 38.1 OpenAI: GPT-6 Luna (batch) — $0.05/M, score 38.1 GPT-6 Sol — $2.00/M, score 47.6 OpenAI: GPT-6 Sol (batch) — $1.00/M, score 47.6 GPT-6.1 Sol — $2.00/M, score 51.8 OpenAI: GPT-6.1 Sol (batch) — $1.00/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 — $0.02/M, score 10.0 OpenAI: gpt-oss-20b (batch) — $0.02/M, score 10.0 o1 — $15.00/M, score 15.2 o1-pro — $150.00/M, score 12.4 o3 — $2.00/M, score 20.2 o3-mini — $1.10/M, score 12.5 OpenAI: o3 Mini High — $1.10/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 — $20.00/M, score 21.9 OpenAI: o3 (batch) — $1.00/M, score 20.2 o4-mini — $1.10/M, score 16.7 OpenAI: o4 Mini (batch) — $0.55/M, score 16.7 Sonar — $1.00/M, score 7.7 Sonar Pro — $3.00/M, score 7.6 Sonar Reasoning Pro — $2.00/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 — $0.45/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 — $0.20/M, score 9.8 Qwen: Qwen3 32B — $0.08/M, score 7.3 Qwen: Qwen3 8B — $0.12/M, score 7.3 Qwen: Qwen3 Coder 480B A35B — $0.30/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 — $0.40/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 — $0.10/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 — $0.40/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 — $0.50/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 — $0.10/M, score 18.2 Qwen: Qwen3.6 Max Preview — $1.03/M, score 28.4 Qwen: Qwen3.6 Plus — $0.33/M, score 27.0 Qwen: Qwen3.7 Max — $1.48/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 — $2.00/M, score 39.9 Qwen: Qwen3.8 2.4T A95B (batch) — $2.00/M, score 39.9 Qwen: Qwen3.8 27B — $0.20/M, score 33.7 Qwen: Qwen3.8 Max — $2.00/M, score 53.4 Qwen: Qwen3.8 Max (0902) — $2.00/M, score 45.4 Reka Flash 3 — $0.10/M, score 6.4 Step 3.5 Flash — $0.10/M, score 17.0 Step 3.7 Flash — $0.20/M, score 19.5 Step 5 Preview — $1.05/M, score 43.7 Hy3 preview — $0.18/M, score 25.3 Inkling — $1.87/M, score 25.0 Inkling Small — $0.30/M, score 25.7 Thinking Machines: Inkling Small (batch) — $0.50/M, score 26.1 Thinking Machines: Inkling (batch) — $1.00/M, score 25.0 Solar Mini 4 — $0.10/M, score 24.1 Upstage: Solar Pro 3 — $0.15/M, score 7.8 Solar Pro 4 — $0.30/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) — $1.00/M, score 24.9 SpaceXAI: Grok 4.5 — $2.00/M, score 38.8 SpaceXAI: Grok 4.6 — $2.00/M, score 44.3 SpaceXAI: Grok 4.7 — $2.00/M, score 46.4 SpaceXAI: Grok Build 0.1 — $1.00/M, score 27.2 MiMo-V2.5 — $0.14/M, score 21.8 MiMo-V2.5-Pro — $0.43/M, score 26.0 MiMo-V2.6-Flash — $0.14/M, score 37.9 MiMo-V2.6-Pro — $0.43/M, score 46.3 Z.ai: GLM 4.5 — $0.60/M, score 12.8 Z.ai: GLM 4.5 Air — $0.13/M, score 11.1 Z.ai: GLM 4.5V — $0.60/M, score 7.6 Z.ai: GLM 4.6 — $0.55/M, score 18.5 Z.ai: GLM 4.6V — $0.30/M, score 11.2 Z.ai: GLM 4.7 — $0.54/M, score 22.2 Z.ai: GLM 4.7 Flash — $0.06/M, score 14.9 Z.ai: GLM 5 — $1.00/M, score 27.9 Z.ai: GLM 5 Turbo — $1.20/M, score 26.6 Z.ai: GLM 5.1 — $1.40/M, score 26.1 Z.ai: GLM 5.2 — $0.03/M, score 33.7 Z.ai: GLM 5.2 (batch) — $0.70/M, score 33.7 Z.ai: GLM 5.3 — $0.08/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 — $1.20/M, score 23.5 DeepSeek V4.1 Flash 1017 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
Max Output Tokens393216 → 384000
Context Length1048576 → 1000000
Max Output Tokens384000 → 393216
Context Length1000000 → 1048576
Max Output Tokens393216 → 384000
Context Length1048576 → 1000000
Max Output Tokens384000 → 393216
Context Length1000000 → 1048576
Max Output Tokens393216 → 384000
Context Length1048576 → 1000000
Provenance

Sources & verification

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

Methodology
Last verified
Oct 24, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Alibaba Token Plan (China) documentationprovider documentation ↗Alibaba Token Plan documentationprovider documentation ↗Umans AI Coding Plan documentationprovider documentation ↗engy documentationprovider documentation ↗Vercel AI Gateway documentationprovider documentation ↗NanoGPT documentationprovider documentation ↗DeepSeek documentationprovider documentation ↗DevPass (LLM Gateway) documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗Ollama Cloud documentationprovider documentation ↗Merge Gateway documentationprovider documentation ↗
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-v4.1-flash-1017
curl
curl "https://modelbench.lol/api/v1/models/deepseek/deepseek-v4.1-flash-1017"
Common questions

Frequently asked questions

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

What is DeepSeek V4.1 Flash 1017?

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding. It is published by DeepSeek and catalogued here from Models.dev.

How much does DeepSeek V4.1 Flash 1017 cost?

Listed input pricing starts at $0.03 per million tokens from engy, rising to $0.60 across 28 listed providers.

What is the context length of DeepSeek V4.1 Flash 1017?

DeepSeek V4.1 Flash 1017 accepts up to 1M tokens of context and returns up to 384K output tokens.

Does DeepSeek V4.1 Flash 1017 support tool calling and structured output?

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

Which providers serve DeepSeek V4.1 Flash 1017?

31 providers list this model: Alibaba Token Plan (China), Alibaba Token Plan, Umans AI Coding Plan, engy, Vercel AI Gateway, NanoGPT and 25 more.

Are the weights for DeepSeek V4.1 Flash 1017 open?

Yes. The weights are published and downloadable from Hugging Face under the MIT license.

When was DeepSeek V4.1 Flash 1017 released?

The catalog records a release date of 2026-10-17, last verified Oct 24, 2026.

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