ModelBench
DeepSeek logo
Models/DeepSeek

DeepSeek: DeepSeek Chat

DeepSeek chat model for instruction following, coding, and analysis

Source-linked deepseek Open weights Released 2025-12-01
API record Report
InputT
OutputT
Input price$0.15/M
Output price$0.6/M
Context1M
Max output384K
Providers8
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 Chat
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
AnyAPI deepseek/deepseek-chat 1M 384K — — — Tools Docs ↗
DeepSeek deepseek-chat 1M 384K $0.14 $0.28 $0.003 Tools Docs ↗
Eden AI deepseek/deepseek-chat 131.072K 384K $0.15 $0.6 $0.003 ToolsJSON Docs ↗
OrcaRouter deepseek/deepseek-chat 1M 384K $0.22 $0.66 $0.007 Tools Docs ↗
Kilo Gateway deepseek/deepseek-chat 128K 16K $0.257 $1.029 — ToolsJSON Docs ↗
OpenRouter deepseek/deepseek-chat 163.84K 16K $0.257 $1.029 — ToolsJSON Docs ↗
ZenMux deepseek/deepseek-chat 128K 64K $0.28 $0.42 $0.03 Tools Docs ↗
AI/ML API deepseek/deepseek-chat 1M 384K $0.39 $1.56 $0.008 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 $0.14/M

Across 7 priced providers

Median input $0.257/M

Midpoint of listed rates

Highest input $0.39/M

2.8× the lowest listed rate

Output range $0.28 – $1.56

Per million output tokens

DeepSeek $0.14/MLowest
Eden AI $0.15/M
OrcaRouter $0.22/M
Kilo Gateway $0.257/M
OpenRouter $0.257/M
ZenMux $0.28/M
AI/ML API $0.39/M
Cost calculator

Estimate a workload

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

Context limits also differ by provider, from 128K to 1M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
✓ Tool calling Yes
? Structured output Unknown
× Attachments No
× Vision input No
✓ Open weights Yes
Creator
DeepSeek
Model family
deepseek
Knowledge cutoff
2025-09
License
Not documented
Release date
2025-12-01
Model ID
deepseek/deepseek-chat

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
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 Aider PolyglotAider Polyglot This model — Design Arena: website: 1118 elo (23.2th percentile) This model — Design Arena: gamedev: 1053 elo (15.4th percentile) This model — Design Arena: codecategories: 1108 elo (20.5th percentile) This model — Design Arena: dataviz: 1089 elo (17.8th percentile) This model — Design Arena: uicomponent: 1088 elo (20.6th percentile) This model — Design Arena: 3d: 1087 elo (28.1th percentile) This model — Design Arena: svg: 977 elo (1.2th percentile) This model — Aider Polyglot: 70.2 percent correct (72.6th 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.

Design Arena: website elo Source ↗
Design Arena: website #154 of 200
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #162 of 191
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #150 of 188
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #151 of 183
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #145 of 182
Design Arena: 3d elo Source ↗
Design Arena: 3d #127 of 176
Design Arena: svg elo Source ↗
Design Arena: svg #127 of 128
Aider Polyglot percent correct · 2025-10-03 Source ↗
Aider Polyglot #9 of 31

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 Design Arena: website, the benchmark with the widest published coverage that this model appears in.

0 721 1443 $0.1 $1 $10 Amazon: Nova Premier 1.0 — $2.5/M, score 835.0 Nova Pro 1.0 — $0.799/M, score 796.0 Claude Fable 5 — $10/M, score 1294.0 Anthropic: Claude Fable 5.1 — $10/M, score 1311.0 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 1311.0 Anthropic: Claude Fable 5 (batch) — $5/M, score 1294.0 Anthropic: Claude Haiku 4.5 — $1/M, score 1122.0 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 1122.0 Anthropic: Claude Haiku 5.5 — $0.1/M, score 1261.0 Anthropic: Claude Haiku 5.5 (batch) — $0.05/M, score 1261.0 Anthropic: Claude Opus 4 — $15/M, score 1176.0 Anthropic: Claude Opus 4.1 — $15/M, score 1175.0 Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 1175.0 Anthropic: Claude Opus 4.5 — $5/M, score 1245.0 Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 1245.0 Anthropic: Claude Opus 4.6 — $5/M, score 1289.0 Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 1289.0 Anthropic: Claude Opus 4.7 — $5/M, score 1307.0 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 1307.0 Anthropic: Claude Opus 4.8 — $5/M, score 1257.0 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 1257.0 Claude Opus 5 — $5/M, score 1308.0 Anthropic: Claude Opus 5.5 — $4/M, score 1329.0 Anthropic: Claude Opus 5.5 (batch) — $2/M, score 1329.0 Anthropic: Claude Opus 5 (batch) — $2.5/M, score 1308.0 Anthropic: Claude Sonnet 4 — $3/M, score 1147.0 Anthropic: Claude Sonnet 4.5 — $3/M, score 1188.0 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 1188.0 Anthropic: Claude Sonnet 4.6 — $3/M, score 1283.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 1283.0 Claude Sonnet 5 — $2/M, score 1273.0 Anthropic: Claude Sonnet 5.5 — $2/M, score 1325.0 Anthropic: Claude Sonnet 5.5 (batch) — $1/M, score 1325.0 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 1273.0 Trinity Large Thinking — $0.25/M, score 1137.0 DeepSeek Chat — $0.15/M, score 1118.0 DeepSeek V3.1 — $0.19/M, score 1122.0 DeepSeek R1 0528 — $0.2/M, score 1149.0 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 1185.0 DeepSeek V3.2 — $0.209/M, score 1173.0 DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 1177.0 DeepSeek V4 Flash — $0.15/M, score 1206.0 DeepSeek V4 Flash 0731 — $0.035/M, score 1236.0 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 1250.0 DeepSeek V4 Pro — $0.66/M, score 1234.0 DeepSeek V4.1 Flash 1017 — $0.15/M, score 1309.0 Gemini 2.5 Flash — $0.3/M, score 1113.0 Google: Gemini 2.5 Flash (batch) — $0.15/M, score 1115.0 Gemini 2.5 Pro — $1.25/M, score 1165.0 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 1167.0 Gemini 3 Flash Preview — $0.5/M, score 1196.0 Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 1196.0 Gemini 3.1 Flash Lite Preview — $0.25/M, score 1081.0 Gemini 3.1 Pro Preview — $2/M, score 1251.0 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 1251.0 Gemini 3.5 Flash — $1.5/M, score 1266.0 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 1266.0 Gemini 3.6 Flash — $0.75/M, score 1299.0 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 1299.0 Gemini 3.7 Flash — $0.75/M, score 1302.0 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 1302.0 Gemini 3.8 Flash — $0.75/M, score 1299.0 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 1299.0 Gemini 4 Argon — $2/M, score 1314.0 Google: Gemini 4 Argon (batch) — $1/M, score 1314.0 Mercury 2 — $0.25/M, score 1035.0 Mercury 3 — $0.1/M, score 1221.0 Meta: Llama 4 Maverick — $0.188/M, score 869.0 Meta: Llama 4 Scout — $0.1/M, score 750.0 Muse Glimmer 30B — $0.2/M, score 1147.0 Muse Spark 1.1 — $1.25/M, score 1269.0 Muse Spark 1.2 — $1.25/M, score 1311.0 Muse Spark 1.3 — $1.25/M, score 1355.0 Muse Spark Open — $1.25/M, score 1320.0 Meta: Muse Wonder — $4/M, score 1361.0 MiniMax: MiniMax M2 — $0.255/M, score 1141.0 MiniMax: MiniMax M2.1 — $0.3/M, score 1201.0 MiniMax: MiniMax M2.5 — $0.3/M, score 1222.0 MiniMax: MiniMax M2.7 — $0.3/M, score 1241.0 MiniMax: MiniMax M3 — $0.3/M, score 1255.0 MiniMax: MiniMax M3 (batch) — $0.3/M, score 1271.0 Mistral: Codestral 2508 — $0.3/M, score 1011.0 Mistral: Codestral 2508 (batch) — $0.15/M, score 1011.0 Mistral: Ministral 3 14B 2512 — $0.2/M, score 1081.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 1026.0 Mistral: Ministral 3 8B 2512 — $0.15/M, score 1063.0 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 1063.0 Mistral: Mistral Large 3 2512 — $0.5/M, score 1162.0 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 1162.0 Mistral: Mistral Large 4 — $1.36/M, score 1257.0 Mistral: Mistral Medium 3 — $0.4/M, score 1077.0 Mistral: Mistral Medium 3.1 — $0.4/M, score 1131.0 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 1131.0 Mistral: Mistral Small 3.2 24B — $0.075/M, score 894.0 Kimi K2 0711 — $0.4/M, score 1050.0 Kimi K2 Instruct 0905 — $0.6/M, score 1107.0 Kimi K2 Thinking — $0.4/M, score 1113.0 Kimi K2.5 — $0.375/M, score 1248.0 Kimi K2.6 — $0.95/M, score 1267.0 Kimi K2.7 Code — $0.95/M, score 1262.0 MoonshotAI: Kimi K2.7 Code (batch) — $0.475/M, score 1284.0 Kimi K3 — $3/M, score 1334.0 Kimi K3.1 Pro — $2/M, score 1328.0 MoonshotAI: Kimi K3 (batch) — $2.28/M, score 1334.0 Nex-N2-Pro — $0.5/M, score 1237.0 Nemotron 3 Ultra 550B A55B — $0.1/M, score 1144.0 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 1145.0 NVIDIA: Nemotron 3.5 Super VL — $0.15/M, score 1172.0 GPT-4.1 — $2/M, score 1037.0 GPT-4.1 mini — $0.4/M, score 997.0 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 997.0 GPT-4.1 nano — $0.1/M, score 971.0 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 971.0 OpenAI: GPT-4.1 (batch) — $1/M, score 1037.0 GPT-4o — $2.5/M, score 831.0 OpenAI: GPT-4o (batch) — $1.25/M, score 831.0 GPT-5 — $1.25/M, score 1184.0 GPT-5 Mini — $0.25/M, score 1125.0 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 1125.0 GPT-5 Nano — $0.05/M, score 1101.0 OpenAI: GPT-5 Nano (batch) — $0.025/M, score 1101.0 GPT-5.1 — $1.25/M, score 1185.0 GPT-5.1 Codex — $1.07/M, score 1160.0 GPT-5.1 Codex mini — $0.22/M, score 1109.0 OpenAI: GPT-5.1 (batch) — $0.625/M, score 1185.0 GPT-5.2 — $1.75/M, score 1193.0 OpenAI: GPT-5.2 (batch) — $0.875/M, score 1193.0 GPT-5.3 Codex — $1.75/M, score 1161.0 GPT-5.4 — $2.5/M, score 1218.0 OpenAI: GPT-5.4 (batch) — $1.25/M, score 1218.0 GPT-5.5 — $5/M, score 1255.0 OpenAI: GPT-5.5 (batch) — $2.5/M, score 1255.0 OpenAI: GPT-5 (batch) — $0.625/M, score 1184.0 GPT-6.1 Sol — $2/M, score 1320.0 OpenAI: GPT-6.1 Sol (batch) — $1/M, score 1320.0 GPT OSS 120B — $0.03/M, score 966.0 OpenAI: gpt-oss-120b (batch) — $0.03/M, score 966.0 GPT OSS 20B — $0.018/M, score 852.0 OpenAI: gpt-oss-20b (batch) — $0.024/M, score 852.0 o3 — $2/M, score 1036.0 OpenAI: o3 (batch) — $1/M, score 1036.0 o4-mini — $1.1/M, score 985.0 OpenAI: o4 Mini (batch) — $0.55/M, score 985.0 Qwen: Qwen3 235B A22B — $0.455/M, score 1035.0 Qwen: Qwen3 235B A22B Instruct 2507 — $0.09/M, score 1056.0 Qwen: Qwen3 235B A22B Thinking 2507 — $0.45/M, score 1051.0 Qwen: Qwen3 30B A3B — $0.12/M, score 953.0 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 935.0 Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 1157.0 Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 1087.0 Qwen: Qwen3 Max — $0.78/M, score 1123.0 Qwen: Qwen3.5 397B A17B — $0.5/M, score 1189.0 Qwen: Qwen3.5 Plus 2026-02-15 — $0.26/M, score 1187.0 Qwen: Qwen3.6 Plus — $0.325/M, score 1241.0 Qwen: Qwen3.7 Max — $1.475/M, score 1273.0 Qwen: Qwen3.7 Plus — $0.32/M, score 1268.0 Qwen: Qwen3.7 Plus (batch) — $0.23/M, score 1268.0 Qwen: Qwen3.8 Max — $2/M, score 1295.0 Beam 1.0 501B A23B — $0.24/M, score 1242.0 Step 3.7 Flash — $0.202/M, score 1195.0 Hy3 — $0.066/M, score 1180.0 Inkling — $1/M, score 1223.0 Thinking Machines: Inkling (batch) — $1/M, score 1229.0 Solar Mini 4 — $0.1/M, score 1153.0 Solar Pro 4 — $0.3/M, score 1176.0 SpaceXAI: Grok 4.20 — $1.25/M, score 1229.0 SpaceXAI: Grok 4.3 — $1.25/M, score 1194.0 SpaceXAI: Grok 4.3 (batch) — $1/M, score 1194.0 SpaceXAI: Grok 4.5 — $2/M, score 1279.0 SpaceXAI: Grok 4.6 — $2/M, score 1287.0 SpaceXAI: Grok 4.7 — $2/M, score 1252.0 MiMo-V2.5 — $0.14/M, score 1264.0 MiMo-V2.5-Pro — $0.435/M, score 1265.0 MiMo-V2.6-Pro — $0.435/M, score 1306.0 Z.ai: GLM 4.5 — $0.6/M, score 1168.0 Z.ai: GLM 4.5 Air — $0.13/M, score 1145.0 Z.ai: GLM 4.6 — $0.55/M, score 1174.0 Z.ai: GLM 4.7 — $0.54/M, score 1224.0 Z.ai: GLM 4.7 Flash — $0.061/M, score 1194.0 Z.ai: GLM 5 — $1/M, score 1247.0 Z.ai: GLM 5 Turbo — $1.2/M, score 1260.0 Z.ai: GLM 5.1 — $1.4/M, score 1290.0 Z.ai: GLM 5.2 — $0.034/M, score 1283.0 Z.ai: GLM 5.2 (batch) — $0.7/M, score 1302.0 Z.ai: GLM 5.3 — $0.091/M, score 1292.0 Z.ai: GLM 5.3 Flash — $0.15/M, score 1270.0 Z.ai: GLM 5.3 Flash (batch) — $0.05/M, score 1270.0 Z.ai: GLM 5.3 (batch) — $0.45/M, score 1292.0 Z.ai: GLM 5V Turbo — $1.2/M, score 1228.0 DeepSeek Chat Input price per million tokens (log scale) Elo

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 Tokens16000 → 384000
Price Completion1.0287 → 0.6
Context Length128000 → 1000000
Price Prompt0.2574 → 0.15
Max Output Tokens384000 → 16000
Price Completion0.6 → 1.0287
Context Length1000000 → 128000
Price Prompt0.15 → 0.2574
Context Length128000 → 1000000
Max Output Tokens16000 → 384000
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 ↗AnyAPI documentationprovider documentation ↗DeepSeek documentationprovider documentation ↗Eden AI documentationprovider documentation ↗OrcaRouter documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗ZenMux documentationprovider documentation ↗AI/ML API documentationprovider documentation ↗Aider Polyglotthird-party ↗Design Arena: websiteindependent benchmark ↗
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-chat
curl
curl "https://modelbench.lol/api/v1/models/deepseek/deepseek-chat"
Common questions

Frequently asked questions

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

What is DeepSeek Chat?

DeepSeek chat model for instruction following, coding, and analysis. It is published by DeepSeek and catalogued here from Models.dev.

How much does DeepSeek Chat cost?

Listed input pricing starts at $0.14 per million tokens from DeepSeek, rising to $0.39 across 7 listed providers.

What is the context length of DeepSeek Chat?

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

Does DeepSeek Chat support tool calling and structured output?

Provider catalogs list support for tool calling.

Which providers serve DeepSeek Chat?

8 providers list this model: AnyAPI, DeepSeek, Eden AI, OrcaRouter, Kilo Gateway, OpenRouter and 2 more.

Are the weights for DeepSeek Chat open?

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

When was DeepSeek Chat released?

The catalog records a release date of 2025-12-01, last verified Oct 24, 2026.

More models from DeepSeek

View all →
DeepSeek V4 Pro

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

1M ctx $0.66/M in DeepSeek V4 Flash

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

1M ctx $0.15/M in DeepSeek V3.2

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

128K ctx $0.209/M in DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

163.84K ctx $0.27/M in