DeepSeek model product
DeepSeek-V3.1
1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates.
Updated Aug 12, 2026. Default version: DeepSeek-V3.1
LLMBoard score39.9DeepSeek-V3.1
Coverage80%16 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable
DeepSeek-V3.1 Specifications
Technical details for the model's default version.
- Version
- DeepSeek-V3.1
- Released
- Jan 10, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 671B
- Context window
- 131.1K
- Max output
- 8.2K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- MIT
DeepSeek-V3.1 Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
DeepSeek-V3.1 Benchmark Results
Benchmark scores for DeepSeek-V3.1.
| SimpleQA | 0.9 | 3 | 46 | 95.6% | C | |
| Aider-Polyglot | 0.7 | 8 | 22 | 66.7% | C | |
| BrowseComp-zh | 0.5 | 10 | 13 | 25.0% | C | |
| CodeForces | 0.7 | 12 | 16 | 26.7% | C | |
| Terminal-Bench | 0.3 | 18 | 25 | 29.2% | C | |
| MMLU-Redux | 0.9 | 21 | 48 | 57.5% | C | |
| SWE-bench Multilingual | 0.5 | 29 | 34 | 15.2% | C | |
| MMLU-Pro | 0.8 | 30 | 129 | 77.3% | C | |
| HMMT 2025 | 0.3 | 32 | 33 | 3.1% | C | |
| LiveCodeBench | 0.6 | 36 | 73 | 51.4% | C | |
| AIME 2024 | 0.7 | 43 | 53 | 19.2% | C | |
| BrowseComp | 0.3 | 55 | 58 | 5.3% | C | |
| Humanity's Last Exam | 0.2 | 69 | 93 | 26.1% | C | |
| SWE-Bench Verified | 0.7 | 72 | 105 | 31.7% | C | |
| AIME 2025 | 0.5 | 100 | 114 | 12.4% | C | |
| GPQA | 0.7 | 109 | 234 | 53.6% | C |
DeepSeek-V3.1 Arena Results
Preference and agent-evaluation results for the default version.
| text | overall | 97 | 1419.6 | 3,469 | N/A | |
| text | overall | 100 | 1419.2 | 15,027 | N/A | |
| text | overall | 107 | 1416.5 | 3,702 | N/A | |
| text | overall | 108 | 1416.5 | 11,799 | N/A | |
| text style control | overall | 113 | 1417.2 | 15,027 | N/A | |
| text style control | overall | 114 | 1417.1 | 3,469 | N/A | |
| text style control | overall | 115 | 1416.4 | 11,799 | N/A | |
| text style control | overall | 119 | 1414.5 | 3,702 | N/A |
DeepSeek-V3.1 Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.20 input, $0.70 output per 1M via NanoGPT
- Tracked offerings
- 19
| NanoGPT | deepseek-ai/DeepSeek-V3.1 | global | $0.20 | $0.70 | 128K | |
| submodel | deepseek-ai/DeepSeek-V3.1 | global | $0.20 | $0.80 | 75K | |
| Vercel AI Gateway | deepseek/deepseek-v3.1 | global | $0.25 | $0.95 | 163.8K | |
| OpenRouter | deepseek/deepseek-chat-v3.1 | global | $0.25 | $0.95 | 163.8K | |
| Deep Infra | deepseek-ai/DeepSeek-V3.1 | global | $0.25 | $0.95 | 163.8K | |
| NovitaAI | deepseek/deepseek-v3.1 | global | $0.27 | $1 | 131.1K | |
| Hugging Face | deepseek-ai/DeepSeek-V3.1 | global | $0.27 | $1 | 131.1K | |
| Jiekou.AI | deepseek/deepseek-v3.1 | global | $0.27 | $1 | 163.8K | |
| Meganova | deepseek-ai/DeepSeek-V3.1 | global | $0.27 | $1 | 164K | |
| Baseten | deepseek-ai/DeepSeek-V3.1 | global | $0.50 | $1.5 | 164K | |
| Merge Gateway | deepseek/deepseek-v3.1 | global | $0.50 | $1.5 | 164K | |
| Weights & Biases | deepseek-ai/DeepSeek-V3.1 | global | $0.55 | $1.65 | 161K | |
| Abacus | deepseek/deepseek-v3.1 | global | $0.55 | $1.66 | 128K | |
| Pioneer | deepseek-ai/DeepSeek-V3.1 | global | $0.56 | $1.68 | 163.8K | |
| Alibaba (China) | deepseek-v3-1 | global | $0.574 | $1.72 | 131.1K | |
| Amazon Bedrock | deepseek.v3-v1:0 | global | $0.58 | $1.68 | 163.8K | |
| Together AI | deepseek-ai/DeepSeek-V3-1 | global | $0.60 | $1.7 | 131.1K | |
| Vertex | deepseek-ai/deepseek-v3.1-maas | global | $0.60 | $1.7 | 163.8K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
DeepSeek-V3.1 Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
| DeepSeek-V3.1 | 39.9 | 671B | 131.1K | 8.2K | Yes | MIT |
What is DeepSeek-V3.1?
Key information about DeepSeek-V3.1 and its available data.
1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. 1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated.
Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations.
The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.
Data as of 2026-08-11.
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FAQ
Common questions about DeepSeek-V3.1.
When was DeepSeek-V3.1 released?
DeepSeek-V3.1's default version was released on Jan 10, 2025.
How much does DeepSeek-V3.1 cost?
No official standard PAYG price is currently available for DeepSeek-V3.1. The lowest tracked third-party offer starts at $0.20 input and $0.70 output via NanoGPT.
Who created DeepSeek-V3.1?
DeepSeek-V3.1 was created by DeepSeek.
What is the context window for DeepSeek-V3.1?
The default version has a 131.1K token context window.
Is DeepSeek-V3.1 open weight?
Yes. The default version is marked as open weight under MIT.
How many API providers offer DeepSeek-V3.1?
19 provider offerings are linked to the default version.
What models should I compare DeepSeek-V3.1 with?
Nearby ranked alternatives include Grok 4.3, Qwen3 Max, Qwen3 VL 32B Thinking.