DeepSeek model product
DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version with substantially stronger agentic capabilities.
Updated Aug 12, 2026. Default version: DeepSeek-V4-Flash-0731
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for DeepSeek-V4-Flash-0731.
| DSBench-FullStack | 68.7% | 01 | 1 | 100.0% | C | |
| DSBench-Hard | 59.6% | 01 | 1 | 100.0% | C | |
| NL2Repo | 54.2% | 02 | 14 | 92.3% | C | |
| AutomationBench | 25.1% | 03 | 8 | 71.4% | C | |
| Toolathlon | 70.3% | 03 | 31 | 93.3% | C | |
| Agents' Last Exam | 25.2% | 05 | 5 | 0.0% | C | |
| CyberGym | 76.7% | 05 | 11 | 60.0% | C | |
| DeepSWE | 54.4% | 05 | 10 | 55.6% | C | |
| Terminal-Bench 2.1 | 82.7% | 09 | 19 | 55.6% | C |
Preference and agent-evaluation results for the default version.
| webdev | overall | 08 | 1584.9 | 2,605 | N/A | |
| agent task outcome explicit | overall | 09 | 0.1 | N/A | 10.6K | |
| agent tool hallucination | overall | 15 | 0.0 | N/A | 1.4M | |
| agent | overall | 21 | 0.0 | N/A | 1.5M | |
| agent steerability | overall | 23 | 0.0 | N/A | 13.5K | |
| agent praise complaint | overall | 26 | 0.0 | N/A | 3.7K | |
| agent bash recovery steps | overall | 27 | 0.0 | N/A | 52.6K | |
| webdev | overall | 53 | 1431.3 | 9,493 | N/A | |
| text style control | overall | 79 | 1438.1 | 48,812 | N/A | |
| text | overall | 87 | 1423.8 | 48,812 | N/A | |
| text factuality | overall | 87 | 1433.7 | 48,725 | N/A |
Provider-specific output speed and catalog latency for DeepSeek-V4-Flash-0731. Runtime does not affect the capability score.
| Novita | 10.973 tok/s | 4.091 s | 1M | 393.2K | |
| DeepInfra | 6.415 tok/s | 15.272 s | 1M | 65.5K | |
| Fireworks | 1.414 tok/s | 5.906 s | 1M | 65.5K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Alibaba Token Plan | deepseek-v4-flash-0731 | global | N/A | N/A | 1M | |
| Umans AI Coding Plan | umans-deepseek-v4-flash-0731 | global | N/A | N/A | 1M | |
| Alibaba Token Plan (China) | deepseek-v4-flash-0731 | global | N/A | N/A | 1M | |
| DigitalOcean | deepseek-v4-flash-0731 | global | $0.08 | $0.252 | 1M | |
| OpenRouter | deepseek/deepseek-v4-flash-0731 | global | $0.08 | $0.18 | 1M | |
| Deep Infra | deepseek-ai/DeepSeek-V4-Flash-0731 | global | $0.08 | $0.18 | 1M | |
| CrofAI | deepseek-v4-flash-0731 | global | $0.12 | $0.21 | 1M | |
| Weights & Biases | deepseek-ai/DeepSeek-V4-Flash-0731 | global | $0.13 | $0.28 | 262.1K | |
| Baseten | deepseek-ai/DeepSeek-V4-Flash-0731 | global | $0.13 | $0.26 | 1M | |
| Fireworks AI | accounts/fireworks/models/deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| NanoGPT | deepseek/deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| OpenCode Zen | deepseek-v4-flash | global | $0.14 | $0.28 | 1M | |
| Ambient | deepseek/deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| EmpirioLabs AI | deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| Together AI | deepseek-ai/DeepSeek-V4-Flash-0731 | global | $0.14 | $0.28 | 1M | |
| Umans AI | umans-deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| DeepSeek | deepseek-v4-flash | global | $0.14 | $0.28 | 1M | |
| Requesty | deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| Kilo Gateway | deepseek/deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| Merge Gateway | deepseek/deepseek-v4-flash-0731 | global | $0.14 | $0.28 | 1M | |
| Hugging Face | deepseek-ai/DeepSeek-V4-Flash-0731 | global | $0.14 | $0.28 | 1M | |
| Vivgrid | deepseek-v4-flash | global | $0.15 | $0.30 | 1M | |
| Charm Hyper | deepseek-v4-flash-0731 | global | $0.1524 | $0.3049 | 1M | |
| GreenPT | deepseek-v4-flash-0731 | global | $0.1596 | $0.399 | 1M | |
| Venice AI | deepseek-v4-flash-0731 | global | $0.175 | $0.35 | 1M | |
| Alibaba | deepseek-v4-flash-0731 | global | $0.20 | $0.40 | 1M | |
| Vercel AI Gateway | deepseek/deepseek-v4-flash-0731 | global | $0.20 | $0.40 | 1M | |
| TensorX | deepseek/deepseek-v4-flash-0731 | global | $0.25 | $0.30 | 1M | |
| Cortecs | deepseek-v4-flash-0731 | global | $0.25 | $0.30 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| DeepSeek-V4-Flash-0731 | 78.3 | 304B | 1M | 384K | Yes | MIT | |
| DeepSeek V4 Flash | N/A | N/A | 1M | 384K | Yes | Unspecified | |
| DeepSeek-V4-Flash-Max | N/A | 284B | 1M | 393.2K | No | MIT |
Key information about DeepSeek-V4-Flash and its available data.
DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version with substantially stronger agentic capabilities. It retains the V4-Flash architecture and adds an attached DSpark speculative-decoding module for faster inference.
The open-weight model supports a 1M-token context window and low, high, and max reasoning-effort levels, and DeepSeek reports that it outperforms the much larger DeepSeek-V4-Pro Preview across its published agent benchmark suite.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about DeepSeek-V4-Flash.
DeepSeek-V4-Flash's default version was released on Jul 31, 2026.
DeepSeek-V4-Flash's official API price is $0.14 per million input tokens and $0.28 per million output tokens via DeepSeek. The lowest tracked third-party offer starts at $0.08 input and $0.252 output via DigitalOcean.
DeepSeek-V4-Flash was created by DeepSeek.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
30 provider offerings are linked to the default version.
Nearby ranked alternatives include Gemini 3.5 Flash, Qwen3.7 Max, Seed 2.1 Pro.