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DeepSeek R1 vs Mistral Large 3

A detailed comparison of DeepSeek R1 (DeepSeek) and Mistral Large 3 (Mistral) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek R1Mistral Large 3Difference
Input / 1M tokens$0.55$2.00+264%
Output / 1M tokens$2.19$5.00+128%
Context window128K128K
Max output64K16.384K

Benchmark Comparison

BenchmarkDeepSeek R1Mistral Large 3
MMLU-Pro84%83%
HumanEval92%91%
GPQA71.5%

Capabilities

CapabilityDeepSeek R1Mistral Large 3
code
reasoning
text
tool-use
vision

DeepSeek R1 Strengths

  • Cheapest reasoning model available
  • Strong math and science performance
  • Open-source with off-peak discounts

DeepSeek R1 Weaknesses

  • Slower than non-reasoning models
  • No vision or tool-use
  • 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 R1 is the more affordable option at $0.55/$2.19 per 1M tokens.

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

Choose DeepSeek R1 if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.

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