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DeepSeek V3 vs Mistral Large 3

A detailed comparison of DeepSeek V3 (DeepSeek) and Mistral Large 3 (Mistral) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek V3Mistral Large 3Difference
Input / 1M tokens$0.14$2.00+1329%
Output / 1M tokens$0.28$5.00+1686%
Context window164K128K
Max output16.384K16.384K

Benchmark Comparison

BenchmarkDeepSeek V3Mistral Large 3
MMLU-Pro78%83%
HumanEval89%91%

Capabilities

CapabilityDeepSeek V3Mistral Large 3
code
reasoning
text
tool-use
vision

DeepSeek V3 Strengths

  • Cheapest capable model available
  • Strong coding performance
  • Open-source

DeepSeek V3 Weaknesses

  • No vision support
  • Smaller context than competitors
  • China-based — availability concerns

Mistral Large 3 Strengths

  • Low output cost ($5/1M) for a flagship
  • Strong multilingual support
  • European data sovereignty option

Mistral Large 3 Weaknesses

  • Lower benchmarks than top-tier competitors
  • Smaller ecosystem

Quick Verdict

Best value: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.

Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).

Larger context: DeepSeek V3 supports 164K tokens.

Choose DeepSeek V3 if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.

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