Intelligence index
Outperforms 44% of compared models
DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes. 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.
- Input / output price
- $0.27/$1per 1M tokens
- Context
- 164K
- Released
- 2025-09-22
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 43% of compared models
Agentic index
Outperforms 35% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
UI Component
1177Elo
Win rate 59.5%
3D
1138Elo
Win rate 56%
Code Categories
1173Elo
Win rate 56%
Data Visualization
1168Elo
Win rate 53.4%
Website
1185Elo
Win rate 56.4%
SVG
1063Elo
Win rate 50.1%
Game Development
1129Elo
Win rate 52.5%
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- Max output
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