Inference availability
Providers Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
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Specification
Capabilities Recorded from the source catalog and provider listings.
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Reasoning
Unknown
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Tool calling
Unknown
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Structured output
Unknown
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Attachments
Unknown
×
Vision input
No
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Open weights
Unknown
Model family Not documented
Knowledge cutoff Not documented
License Not documented
Release date Not documented
Model ID deepseek/deepseek-v4-flash-0731:free
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
Coding IndexCoding Index
Agentic IndexAgentic Index
IntelligenceIntelligence Index
Design Arena: w…Design Arena: website
Design Arena: c…Design Arena: codecategories
Design Arena: g…Design Arena: gamedev
Design Arena: d…Design Arena: dataviz
Design Arena: u…Design Arena: uicomponent
This model — Coding Index: 69.1 index (77.8th percentile)
This model — Agentic Index: 41.7 index (80.5th percentile)
This model — Intelligence Index: 34.5 index (69.4th percentile)
This model — Design Arena: website: 1251 elo (63.9th percentile)
This model — Design Arena: codecategories: 1245 elo (61.0th percentile)
This model — Design Arena: gamedev: 1232 elo (61.7th percentile)
This model — Design Arena: dataviz: 1197 elo (48.8th percentile)
This model — Design Arena: uicomponent: 1252 elo (62.0th 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.
Coding Index
#46 of 209
2.7
median 49.3
81.6
Agentic Index
#38 of 197
0.1
median 20.1
58.0
Intelligence Index
#59 of 196
3.8
median 25.5
55.0
Design Arena: website
#63 of 176
762.0
median 1202.5
1364.0
Design Arena: codecategories
#65 of 168
805.0
median 1198.0
1388.0
Design Arena: gamedev
#63 of 167
795.0
median 1194.0
1415.0
Design Arena: dataviz
#83 of 166
870.0
median 1197.0
1366.0
Design Arena: uicomponent
#60 of 162
783.0
median 1206.5
1383.0
Design Arena: 3d
#60 of 158
865.0
median 1191.0
1432.0
Design Arena: svg
#42 of 117
989.0
median 1187.0
1348.0
Design Arena: asciiart
#89 of 102
1015.0
median 1183.5
1390.0
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 Coding Index, the benchmark with the widest published coverage that this model appears in.
0
43
86
$0.01
$0.1
$1
$10
Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7
OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3
Gemma 4 26B A4B IT — $0.042/M, score 39.3
Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8
OpenAI: o1 (batch) — $7.5/M, score 39.7
Inkling — $1.87/M, score 52.1
Claude Sonnet 5 — $2/M, score 71.5
Z.ai: GLM 5.1 — $0.966/M, score 55.8
Google: Gemma 4 31B (batch) — $0.39/M, score 43.4
MiniMax: MiniMax M3 — $0.3/M, score 58.6
OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5
DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1
SpaceXAI: Grok 4.5 — $2/M, score 72.4
Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5
Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3
Anthropic: Claude Sonnet 4 — $3/M, score 37.6
Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7
Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4
DeepSeek V4 Pro 0813 — $0.442/M, score 68.8
MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8
Qwen: Qwen3.7 Plus — $0.32/M, score 55.9
GPT-5.6 Luna — $0.2/M, score 71.4
OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7
Thinking Machines: Inkling (batch) — $1/M, score 52.1
GPT-4.1 mini — $0.4/M, score 20.2
GPT OSS 20B — $0.02/M, score 20.7
Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9
Gemma 4 31B IT — $0.09/M, score 43.4
Claude Fable 5 — $10/M, score 76.5
Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9
Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9
Inception: Mercury 2 — $0.25/M, score 31.1
OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7
GPT-5 Mini — $0.25/M, score 15.6
DeepSeek V4 Flash 0731 — $0.035/M, score 69.1
MiniMax: MiniMax M2.7 — $0.3/M, score 52.6
Anthropic: Claude Fable 5.1 — $10/M, score 81.6
GPT-5.4 nano — $0.2/M, score 56.1
Anthropic: Claude Opus 4.8 — $5/M, score 74.3
Mistral: Devstral 2 2512 — $0.4/M, score 31.3
Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3
Z.ai: GLM 5.3 Flash — $0.09/M, score 71.5
DeepSeek V4 Pro — $0.435/M, score 59.4
Gemini 3.8 Flash — $0.75/M, score 76.3
Gemini 3.7 Flash — $0.75/M, score 76.1
Z.ai: GLM 4.6 — $0.43/M, score 45.8
OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1
Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5
inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0
DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8
inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6
Gemini 3.5 Flash — $1.5/M, score 70.1
Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1
OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1
Anthropic: Claude Opus 5 (batch) — $2.5/M, score 78.0
o1 — $15/M, score 39.7
Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9
Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2
SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2
MiMo-V2.5 — $0.14/M, score 56.8
Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3
Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1
Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9
Z.ai: GLM 5.3 — $1.4/M, score 74.8
Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8
DeepSeek V3.2 — $0.18/M, score 44.2
OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1
Gemini 3.1 Pro Preview — $2/M, score 68.8
Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1
Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5
OpenAI: GPT-5 (batch) — $0.625/M, score 37.8
Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3
OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1
GPT-5.5 — $5/M, score 74.9
NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3
LongCat-2.0 — $0.3/M, score 45.3
Claude Opus 5 — $5/M, score 78.0
Gemini 3.5 Flash Lite — $0.3/M, score 49.3
MiMo-V2.5-Pro — $0.435/M, score 60.2
Muse Spark 1.1 — $1.25/M, score 71.3
Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4
OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4
MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2
Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8
Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0
Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1
IBM: Granite 4.2 8B — $0.06/M, score 22.4
Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1
Ling 3.0 Flash Fin — $0.06/M, score 55.6
GPT-4.1 nano — $0.1/M, score 11.1
GPT-4 — $30/M, score 13.1
GPT-4 Turbo — $10/M, score 21.5
Qwen: Qwen3.6 Plus — $0.325/M, score 54.5
Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9
OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4
Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5
Kimi K2.5 — $0.3/M, score 46.8
GPT-5.1 — $1.25/M, score 49.4
DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5
Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3
OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2
Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6
Inkling Small — $0.45/M, score 52.9
Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1
SpaceXAI: Grok 4.3 — $1.25/M, score 42.2
Gemma 3 27B IT — $0.08/M, score 10.1
GPT-3.5-turbo — $0.5/M, score 10.7
Qwen: Qwen3.8 Max (0902) — $2/M, score 76.2
OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4
GPT-4o (2024-05-13) — $5/M, score 24.2
Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7
GPT-4o mini — $0.15/M, score 11.4
Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8
Anthropic: Claude Opus 4.7 — $5/M, score 73.6
SpaceXAI: Grok 4.6 — $2/M, score 76.8
Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0
Hy3 preview — $0.066/M, score 58.8
Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6
OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7
Gemini 3.6 Flash — $0.75/M, score 69.2
MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6
Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5
Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6
Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1
Gemma 3 4B IT — $0.04/M, score 2.7
Nemotron 3 Super 120B A12B — $0.2/M, score 37.7
OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6
GPT OSS 120B — $0.03/M, score 30.4
Qwen: Qwen3.8 27B — $0.214/M, score 68.1
Gemini 2.5 Pro — $1.25/M, score 33.3
GPT-6 Astra — $10/M, score 76.9
GPT-5 — $1.25/M, score 37.8
OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9
Kimi K3 — $3/M, score 76.2
Solar Pro 4 — $0.3/M, score 52.7
Qwen: Qwen3 14B — $0.12/M, score 13.8
OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9
Muse Spark 1.2 — $1.25/M, score 72.2
DeepSeek-R1 — $0.696/M, score 24.6
OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4
DeepSeek V4 Flash — $0.15/M, score 52.0
GPT-5.6 Sol — $4/M, score 77.4
Gemma 3 12B IT — $0.05/M, score 5.8
Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7
GPT-5.4 — $2.5/M, score 71.1
GPT-5.6 Terra — $2/M, score 76.7
Kimi K2.7 Code — $0.95/M, score 60.8
GPT-5.4 mini — $0.75/M, score 56.1
Trinity Large Thinking — $0.25/M, score 25.8
Kimi K2.6 — $0.95/M, score 61.8
Kimi K2 Thinking — $0.4/M, score 21.0
OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4
Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1
Z.ai: GLM 5.2 — $1.4/M, score 68.8
Qwen: Qwen3.7 Max — $1.475/M, score 66.0
SpaceXAI: Grok Build 0.1 — $1/M, score 51.5
Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9
Qwen: Qwen3.6 27B — $0.3/M, score 53.7
inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3
Mistral: Mistral Small 4 — $0.15/M, score 26.6
Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5
Qwen: Qwen3.5-9B — $0.1/M, score 28.7
Qwen: Qwen3.5-35B-A3B — $0.163/M, score 37.0
Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7
Upstage: Solar Pro 3 — $0.15/M, score 16.2
Z.ai: GLM 4.7 — $0.4/M, score 45.3
Amazon: Nova 2 Lite — $0.3/M, score 23.0
Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8
Google: Gemma 3n 4B — $0.06/M, score 3.2
Meta: Llama 4 Maverick — $0.188/M, score 16.3
OpenAI: o3 Mini High — $1.1/M, score 16.3
Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9
Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4
Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1
Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9
inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8
IBM: Granite 4.1 8B — $0.05/M, score 9.5
Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2
Qwen: Qwen3 Coder Next — $0.12/M, score 36.2
Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4
Anthropic: Claude Haiku 4.5 — $1/M, score 43.9
Qwen: Qwen3 8B — $0.117/M, score 9.0
Qwen: Qwen3 32B — $0.08/M, score 15.3
Meta: Llama 4 Scout — $0.1/M, score 8.2
DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2
Cohere: Command A — $2.5/M, score 27.8
Step 3.7 Flash — $0.185/M, score 39.6
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 No changes recorded This record has not changed within the retained import history.
Provenance
Sources & verification Every figure on this page traces back to one of these records.
Methodology
Last verified Sep 18, 2026
Status Source-linked
Confidence Medium
Catalog source OpenRouter
Public API
Use this record Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
API documentation
Endpoint Copy
GET https://model.kyssta.lol/api/v1/models/deepseek/deepseek-v4-flash-0731:freecurl Copy
curl "https://model.kyssta.lol/api/v1/models/deepseek/deepseek-v4-flash-0731:free"
Common questions
Frequently asked questions Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is DeepSeek: DeepSeek V4 Flash 0731 (free)?
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. It is published by DeepSeek and catalogued here from OpenRouter.
How much does DeepSeek: DeepSeek V4 Flash 0731 (free) cost?
This model is documented as free to use at the listed providers.
What is the context length of DeepSeek: DeepSeek V4 Flash 0731 (free)?
DeepSeek: DeepSeek V4 Flash 0731 (free) accepts up to 1.04858M tokens of context and returns up to 393.216K output tokens.
