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[ARTICLE · art-52727] src=tokenstead.ai ↗ pub= topic=large-language-models verified=true sentiment=· neutral

DeepSeek V3.1 Terminus

DeepSeek released V3.1 Terminus, a 685B-parameter Mixture-of-Experts model with ~37B active parameters per token, featuring improved language consistency and tool-use capabilities including Code Agent and Search Agent. The model is available under an MIT license with FP8 quantization.

read1 min views1 publishedJul 9, 2026
DeepSeek V3.1 Terminus
Image: Tokenstead (auto-discovered)

MoE workstation685B total, ~37B active per token (MoE) - same backbone as DeepSeek V3. Instruct/agent-tuned variant of V3.1-Base: improves language consistency (less mixed Chinese-English) and adds Code Agent + Search Agent tool-use. FP8 quantization. Open weights under MIT.

coding reasoning chat

  • 685.0B
  • 128k
  • mit
  • Sep 2025

Scores #

Coding

80

Reasoning

85

General

82

PRICE HISTORY

Inference cost over time #

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

price history...

source & further reading
tokenstead.ai — original article Qwen3.6 35B A3B DeepSeek V4 Flash DeepSeek V3.2 Exp
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