DeepSeek-V3.1 Terminus
DeepSeek-V3.1 Terminus is an AI model published by DeepSeek-AI, released on 2025-09-22, for Chat model, with 671B parameters, and 128K context length, requiring about 1340GB storage, with a 96.80 score on SimpleQA.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.210/ 1M | $0.790/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | $0.210/ 1M | $0.168/ 1M |
| Text | - | $0.210/ 1M Cache = write | — |
| Text | - | — | $0.168/ 1M Cache = hit |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
DeepSeek-V3.1 Terminus currently shows benchmark results led by SimpleQA (2 / 47, score 96.80), MMLU Pro (27 / 133, score 85), LiveCodeBench (33 / 127, score 80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
4 evaluationsGeneral Evaluation
2 evaluationsCoding and Software Engineer
3 evaluationsAI Agent - Tool Usage
2 evaluationsPublisher
Model Overview
DeepSeek-V3.1 Terminus is an AI model published by DeepSeek-AI, released on 2025-09-22, for Chat model, with 671B parameters, and 128K context length, requiring about 1340GB storage, with a 96.80 score on SimpleQA.
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