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DeepSeek V3.1 (Reasoning)

DeepSeekOpen weightsReasoningProvisionalReleased Aug 21, 2025
Compare with GLM-4.7-FlashSource scores ↗
Overall score
39.1
Rank 146 of 222 · 29.4–48.9
Context window
128K
128,000 tokens
Price per 1M tokens
— in · — out
No price listed
Blended price
—
3:1 input:output tokens
Output speed
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Not measured yet

Category scores

Scores per capability area with the model's rank among ranked models in that category.

  1. 1Coding81.7
  2. 2Reasoning63.9
  3. 3Instruction following#9548.4
  4. 4Knowledge#11847.1
Higher is better. #N is the model's rank in that category, where it is eligible to be ranked.

Benchmark results (7)

As reported in system cards, papers and public evaluations. Position compares this model with every other model reporting the same benchmark.

Knowledge

GPQA80.1#59 of 117
HLE15.9#63 of 69
MMLU-Pro84.8#22 of 67

Math

AIME 202588.4#15 of 38
AIME 202493.1#2 of 19

Coding

LiveCodeBench74.8#2 of 10

Multimodal

Design Arena Website1124#76 of 91

Pricing by source

USD per 1M tokens.

SourceInputOutputCached in
List price———

Open-weight model. Self-hosted or third-party hosted costs vary by provider and infrastructure.

Speed

Measured by us through OpenRouter (median of trials).

Not available on OpenRouter, so we cannot measure it yet.

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