DeepSeek V4 Flash 0731
Category scores
Scores per capability area with the model's rank among ranked models in that category.
- 1Math87.1
- 2Knowledge66.2
- 3Reasoning60.8
- 4Coding55.5
- 5Agentic & tool use54.4
Benchmark results (35)
As reported in system cards, papers and public evaluations. Position compares this model with every other model reporting the same benchmark.
Agentic & tool use
| Terminal-Bench 2.1 | 82.7 | #24 of 68 |
| BrowseComp | 73.2 | #30 of 50 |
| MCP Atlas | 69.0 | #26 of 42 |
| MazeBench | 0 | #20 of 42 |
| Terminal-Bench 2.0 | 56.9 | #23 of 39 |
| HLE w/ tools | 45.1 | #24 of 27 |
| CyberGym | 76.7 | #17 of 25 |
| AutomationBench | 25.1 | #25 of 25 |
| Toolathlon | 47.8 | #13 of 22 |
| Toolathlon-Verified | 70.3 | #17 of 22 |
| Agents' Last Exam | 25.2 | #16 of 17 |
Coding
| SWE-bench Verified | 79.0 | #21 of 98 |
| SWE-bench Pro | 52.6 | #55 of 69 |
| DeepSWE | 54.4 | #42 of 50 |
| NL2Repo | 54.2 | #9 of 31 |
| VulcanBench v3 | 88.4 | #3 of 14 |
| OpenHarmony Bench | 53.8 | #8 of 12 |
| Codeforces | 3052.0 | #4 of 4 |
| LiveCodeBench Pass@1-COT | 91.6 | #2 of 2 |
| DSBench-FullStack | 68.7 | #2 of 2 |
| DSBench-Hard | 59.6 | #2 of 2 |
Reasoning
| ARC-AGI-2 | 61.4 | #23 of 41 |
| ARC-AGI-1 | 89.00 | #23 of 36 |
| MRCR 1M | 78.7 | #2 of 4 |
| CorpusQA 1M | 60.5 | #2 of 2 |
Knowledge
| GPQA | 88.1 | #33 of 117 |
| HLE | 34.8 | #37 of 69 |
| MMLU-Pro | 86.2 | #12 of 67 |
| Chinese-SimpleQA | 78.9 | #2 of 2 |
Math
| HMMT Feb 2026 | 94.8 | #3 of 24 |
| IMOAnswerBench | 88.4 | #4 of 9 |
| Apex | 33.0 | #6 of 8 |
| Apex Shortlist | 85.7 | #4 of 4 |
Multilingual
| SWE Multilingual | 73.3 | #28 of 46 |
Multimodal
| Design Arena Website | 1208 | #55 of 91 |
Pricing by source
USD per 1M tokens.
| Source | Input | Output | Cached in |
|---|---|---|---|
| List price (BenchLM) | $0.14 | $0.28 | $0.003 |
| OpenRouter deepseek/deepseek-v4-flash-0731 | $0.13 | $0.39 | $0.004 |
Historical. DeepSeek V4 Flash 0731 used the shared `deepseek-v4-flash` API ID at $0.14 cache-miss input / $0.0028 cache-hit input / $0.28 output per million tokens; BenchLM represents the model at its highest published reasoning effort. DeepSeek retired the V4 Flash SKU on September 10, 2026 when it launched DeepSeek-V4.1-Flash as `deepseek-flash`; the legacy `deepseek-v4-flash` ID is still accepted but temporarily routes to V4.1 Flash and bills at the V4.1 Flash rate. The rates stored here are historical: the last standalone V4 Flash figures BenchLM recorded from the pricing page checked August 12, 2026, before DeepSeek's peak/off-peak schedule took effect at 16:00 UTC on August 16, 2026.
Open weights
From the Hugging Face repository.
- Parameters
- 304B
- Licence
- mit
- Downloads (30 days)
- 4.2M
- Repository
- deepseek-ai/DeepSeek-V4-Flash-0731 ↗
Speed
Measured by us through OpenRouter (median of trials).
Not measured yet.