Intelligence index
Outperforms 43% of compared models
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs
The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows.
It succeeds the DeepSeek V3-0324 model and performs well on a variety of tasks.
- Input / output price
- $0.25/$0.95per 1M tokens
- Context
- 164K
- Released
- 2025-08-21
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
SVG
963Elo
Win rate 38.2%
3D
1074Elo
Win rate 47.9%
Data Visualization
1096Elo
Win rate 46.2%
UI Component
1080Elo
Win rate 47.1%
Code Categories
1110Elo
Win rate 47.8%
Game Development
1084Elo
Win rate 47.1%
Website
1122Elo
Win rate 48%
Related Models
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- Context
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- Max output
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- Input
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- Cache read
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DeepSeek V4 Pro 0813
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- Context
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- Max output
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- Input
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DeepSeek V4 Flash Vision Exp
deepseekDeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.
- Context
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- Max output
- 262.1K
- Released
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- Input
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- Output
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- Cache read
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