deepseek
DeepSeek: DeepSeek V4 Flash 0731
deepseek/deepseek-v4-flash-0731
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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....
Specifications
- Model ID
- deepseek/deepseek-v4-flash-0731
- Canonical ID
- deepseek/deepseek-v4-flash-20260731
- Creator
- deepseek
- Added to OpenRouter
- 31.07.2026
- Context length
- 1,048,576
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.043 / out $0.300
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default high · efforts: max, high, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | AA — next 20% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default high · efforts: max, high, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 69.1 | AA — next 20% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 41 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 48.8% · rank 54 | 1,191Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 34% · rank 64 | 1,093Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 46.5% · rank 58 | 1,220Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 40% · rank 72 | 1,170Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 44.8% · rank 57 | 1,199Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 44.7% · rank 42 | 1,171Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 47.1% · rank 51 | 1,228Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 46.8% · rank 55 | 1,231Elo | BB — next 30% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Wafernvfp4 | 1,048,576 | $0.043 | $0.300 | — | — | 100% |
| Baidufp8 | 1,048,576 | $0.060 | $0.180 | — | — | 100% |
| DeepInfrafp8 | 1,048,576 | $0.060 | $0.180 | — | — | 100% |
| Relacefp4 | 1,048,576 | $0.070 | $0.140 | — | — | 100% |
| Reka | 262,144 | $0.100 | $0.420 | — | — | 100% |
| DigitalOcean | 1,048,576 | $0.119 | $0.238 | — | — | 100% |
| BaseTenfp8 | 1,048,576 | $0.130 | $0.260 | — | — | 100% |
| BaseTenfp32 | 1,048,576 | $0.130 | $0.260 | — | — | 100% |
| Venice | 1,000,000 | $0.130 | $0.260 | — | — | 96.67% |
| CoreWeavefp8 | 262,144 | $0.130 | $0.270 | — | — | 100% |
| Inceptronfp4 | 1,048,576 | $0.130 | $0.495 | — | — | 100% |
| StreamLakefp8 | 1,024,000 | $0.132 | $0.396 | — | — | 100% |
| Wafernvfp4 | 1,048,576 | $0.140 | $0.230 | — | — | 100% |
| Coherefp8 | 1,048,576 | $0.140 | $0.280 | — | — | 80% |
| Parasailfp8 | 1,048,576 | $0.140 | $0.280 | — | — | 81.48% |
| Sail Researchfp4 | 1,048,576 | $0.150 | $0.300 | — | — | 100% |
| Sail Researchfp4 | 1,048,576 | $0.150 | $0.300 | — | — | 100% |
| Mancer 2fp8 | 1,048,576 | $0.150 | $0.500 | — | — | 66.67% |
| Alibaba | 1,000,000 | $0.176 | $0.528 | — | — | 100% |
| Alibaba | 1,000,000 | $0.187 | $0.561 | — | — | 100% |
| SiliconFlowfp8 | 1,048,576 | $0.220 | $0.660 | — | — | 100% |
| GMICloudfp8 | 1,048,575 | $0.286 | $0.858 | — | — | 100% |
| Novitafp8 | 1,048,576 | $0.409 | $1.23 | — | — | 100% |
| Chutesfp8 | 1,048,576 | $0.440 | $1.32 | — | — | — |
| PrimeIntellectfp4 | 1,048,576 | $0.440 | $1.32 | — | — | 100% |
| AtlasCloudfp4 | 1,048,576 | $0.440 | $1.32 | — | — | 100% |
| Cloudflare | 1,048,576 | $0.440 | $1.32 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.