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DeepSeek-V3.1-Terminus vs Kimi K3

DeepSeek-V3.1-Terminus (DeepSeek) and Kimi K3 (Moonshot) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeDeepSeek-V3.1-TerminusDeepSeekKimi K3Moonshot · 43 in the news
Scores
Intelligence (ECI)158
Coding3397
Math4880
Reasoning & Knowledge3773
Agentic & Tools1080
Specifications
DeveloperDeepSeekMoonshot
FamilyDeepSeekKimi
ReleasedSep 22, 2025Jul 16, 2026
Parameters2.8T
AvailabilityOpen weights (unrestricted)Open weights (non-commercial)
Context window164K1M
Price — $/M input$0.27$2.10
Price — $/M output$1.00$10.95
Inputstexttext, image, video
Outputstexttext
Benchmarks
AIME 2024/202590%97%
GPQA Diamond79%93%
Humanity's Last Exam16%47%
LiveCodeBench80%
MMLU-Pro85%
SciCode38%60%
τ²-bench37%
APEX39%
ARC-AGI95%
ARC-AGI-260%
SimpleBench61%
SimpleQA Verified51%
WebDev Arena1674
WeirdML83%

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

Which is cheaper, DeepSeek-V3.1-Terminus or Kimi K3?

DeepSeek-V3.1-Terminus is cheaper on input tokens at $0.27 per million, versus $2.10 (representative OpenRouter pricing).

Which has a larger context window, DeepSeek-V3.1-Terminus or Kimi K3?

Kimi K3 supports up to 1M tokens, compared with 164K for the other.

Which is better for coding, DeepSeek-V3.1-Terminus or Kimi K3?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Kimi K3 ranks higher — 97th vs 33th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.