DeepSeek-V4-Pro-0813Open Weight
Released
DeepSeek-V4-Pro-0813 is an AI model released by DeepSeek on Thursday, Aug 13 2026, 13 days after DeepSeek-V4-Flash-0731. It is an open-weight model — the trained weights are available to download and run. Benchmark results (shown below) cover BullshitBench v2, SWE-Bench Verified, Terminal-Bench 2.1, Toolathlon-Verified, BrowseComp, CyberGym, and 2 more.
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API pricing
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $0.66
- Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
- $0.022
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $1.98
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $1.32
- Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
- $0.044
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $3.96
- Thinking and non-thinking modes use the same published price.
Available from
| Baidu | — | $0.2442 | $0.7326 | 1M | fp8 |
|---|---|---|---|---|---|
| StreamLake | — | $0.264 | $0.792 | 1M | — |
| Ionstream | — | $0.2528 | $1.9584 | 1M | — |
| DeepSeek | — | $0.66 | $1.98 | 1M | — |
| DeepInfra | — | $1.30 | $2.60 | 1M | fp8 |
| Phala | — | $0.957 | $2.8776 | 1M | — |
| Novita | — | $0.99 | $2.97 | 1M | fp8 |
| GMICloud | — | $1.056 | $3.168 | 1M | fp8 |
| NextBit | — | $1.056 | $3.168 | 1M | fp8 |
| Alibaba | — | $1.122 | $3.366 | 1M | — |
| Wafer | — | $0.245 | $3.50 | 1M | — |
| CoreWeave | — | $1.31 | $3.96 | 1M | fp8 |
| AtlasCloud | — | $1.32 | $3.96 | 1M | fp8 |
| Cloudflare | — | $1.32 | $3.96 | 1M | — |
| DigitalOcean | — | $1.32 | $3.96 | 1M | — |
| Parasail | — | $1.32 | $3.96 | 1M | fp8 |
| SiliconFlow | — | $1.32 | $3.96 | 1M | fp8 |
| Together | — | $1.32 | $3.96 | 1M | — |
| Sail Research | — | $0.40 | $4.30 | 1M | fp4 |
| Sail Research | us | $0.40 | $4.30 | 1M | fp4 |
| Venice | — | $1.65 | $4.95 | 1M | — |
Benchmarks
Coding
Terminal & CLI
Agentic & tool use
Reasoning & science
Robustness
Source: BenchLM, retrieved 31 August 2026. Other sources are identified on the linked benchmark pages.
Compare DeepSeek-V4-Pro-0813 with
Suggested comparisons
DeepSeek-V4-Pro-0813vsDeepSeek-V4.1-FlashDeepSeek-V4-Pro-0813vsGPT-6 SolDeepSeek-V4-Pro-0813vsClaude Opus 5.5DeepSeek-V4-Pro-0813vsGemini 3.8 FlashDeepSeek-V4-Pro-0813vsMuse Spark 1.3DeepSeek-V4-Pro-0813vsGrok 4.7DeepSeek-V4-Pro-0813vsMistral Medium 3.5DeepSeek-V4-Pro-0813vsKimi K3DeepSeek-V4-Pro-0813vsGLM-5.3-FlashDeepSeek-V4-Pro-0813vsQwen3.8-Max-0902DeepSeek-V4-Pro-0813vsNemotron 3.5 LightningAbout
DeepSeek-V4-Pro-0813, released August 13, 2026, brought the top tier of the V4 line up to the agentic post-training that had landed on Flash two weeks earlier. On DeepSeek's own harness it scored 87.9 on Terminal-Bench 2.1, against 82.7 for V4-Flash-0731 and 72.1 for the April V4-Pro-Preview build, and 83.3 on CyberGym — the highest figure in the lab's launch comparison at the time, marginally ahead of Claude Fable 5. It also posted 42.7% on Humanity's Last Exam without tools and 60.0% with them, 74.1 on Toolathlon-Verified and 31.8 on the public AutomationBench split. As with the July Flash release, DeepSeek ran the code-agent evaluations through its own unreleased harness in minimal mode, and its numbers for rival models did not always match those labs' published figures, so the chart reads best as a within-family comparison.
The headline changes were operational rather than architectural. V4-Pro and V4-Flash both gained a selectable reasoning effort — low for simple prompts, high for everyday agent work, max for hard tasks — replacing the single fixed thinking budget of the earlier builds, and the release added native OpenAI Responses API support with one-click Codex setup. Distribution followed the pattern the Flash refresh established: the checkpoint reached the app and web product under an "Expert Mode" toggle and shipped through the API under unchanged model names, so existing callers were moved onto it without a code change. Weights for this checkpoint are available under the MIT License on Hugging Face.
Frequently asked questions
DeepSeek-V4-Pro-0813 was released by DeepSeek on Thursday, Aug 13 2026.