Deepseek Release Notes

DeepSeek-V3.1-Terminus Upgrade

Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1-Terminus.

deepseek-chat corresponds to DeepSeek-V3.1-Terminus's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode.
This update maintains the model's original capabilities while addressing issues reported by users, including:

• Language consistency: Reduced occurrences of Chinese-English mixing and occasional abnormal characters;
• Agent capabilities: Further optimized the performance of the Code Agent and Search Agent.

DeepSeek-V3.1 Upgrade

Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1.

deepseek-chat corresponds to DeepSeek-V3.1's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode.

Key updates in DeepSeek-V3.1:

• Hybrid reasoning architecture: A single model supports both thinking mode and non-thinking mode
• Improved reasoning efficiency: Compared to DeepSeek-R1-0528, DeepSeek-V3.1-Think provides answers in significantly less time
• Enhanced agent capabilities: With post-training optimization, the new model achieves major improvements in tool usage and intelligent agent tasks
  • SWE-bench Verified: 66.0
  • SWE-bench Multilingual: 54.5
  • Terminal-bench: 31.3

deepseek-reasoner Model Upgraded to DeepSeek-R1-0528

• Enhanced Reasoning Capabilities

  • Significant benchmark improvements (Pass@1)
    • AIME 2025: 70.0 → 87.5 (+17.5)
    • GPQA: 71.5 → 81.0 (+9.5)
    • LCB_v6: 63.5 → 73.3 (+9.8)
    • Aider: 57.0 → 71.6 (+14.6)
  • Note: Complex reasoning tasks may consume more tokens compared to legacy R1 version.

• Optimized Front-end Development

  • Generated web pages and games now feature improved aesthetics.

• Reduced Hallucinations

  • Significantly suppressed hallucination issues present in legacy R1 version.

• JSON Output & Function Calling Support

  • Function call performance:
    • Tau-bench score: 53.5 (Airline) / 63.9 (Retail)

deepseek-chat Model Upgraded to DeepSeek-V3-0324:

Enhanced Reasoning Capabilities

• Significant improvements in benchmark performance:
  • MMLU-Pro: 75.9 → 81.2 (+5.3)
  • GPQA: 59.1 → 68.4 (+9.3)
  • AIME: 39.6 → 59.4 (+19.8)
  • LiveCodeBench: 39.2 → 49.2 (+10.0)

Optimized Front-End Web Development

• Improved accuracy in code generation
• More aesthetically pleasing web pages and game front-ends

Upgraded Chinese Writing Proficiency

• Enhanced style and content quality:
  • Aligned with the R1 writing style
  • Better quality in medium-to-long-form writing

Feature Enhancements

• Improved multi-turn interactive rewriting
• Optimized translation quality and letter writing

Improved Chinese Search Capabilities

• Enhanced report analysis requests with more detailed outputs

Function Calling Improvements

• Increased accuracy in Function Calling, fixing issues from previous V3 versions

DeepSeek-V2.5-1210 Upgrade

The deepseek-chat model has been upgraded to DeepSeek-V2.5-1210, with improvements across various capabilities. Relevant benchmarking results include:

• Mathematical: Performance on the MATH-500 benchmark has improved from 74.8% to 82.8%.
• Coding: Accuracy on the LiveCodebench (08.01 - 12.01) benchmark has increased from 29.2% to 34.38%.
• Writing and Reasoning: Corresponding improvements have been observed in internal test datasets.

Additionally, the new version of the model has optimized the user experience for file upload and webpage summarization functionalities.