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Gemini 1.5 Pro vs Mistral Large

Pricing, context window, and benchmark comparison · Last updated April 2026

Quick Verdict

Gemini 1.5 Pro is cheaper than Mistral Large at $1.25/1M/1M vs $2.00/1M/1M input tokens — a 1.6x cost difference. Gemini 1.5 Pro scores higher on quality benchmarks (ELO 1266). Choose Gemini 1.5 Pro for cost-sensitive workloads; both are strong choices depending on your budget.

Detailed Comparison

MetricGemini 1.5 ProMistral Large
Input Price / 1M tokens$1.25/1MCheaper$2.00/1M
Output Price / 1M tokens$5.00/1MCheaper$6.00/1M
Context Window2MLarger131K
ELO Score (LMSYS)1266Smarter1251
Open Source
Free Tier
Release Date2024-022024-02

Which is cheaper: Gemini 1.5 Pro or Mistral Large?

Gemini 1.5 Pro is the cheaper option at $1.25/1M per 1M input tokens, compared to $2.00/1M for Mistral Large. That is a 1.6x cost difference on input tokens. Output pricing follows a similar pattern: Gemini 1.5 Pro charges $5.00/1M/1M vs $6.00/1M/1M for Mistral Large.

Which has better quality: Gemini 1.5 Pro or Mistral Large?

Based on LMSYS Chatbot Arena rankings, Gemini 1.5 Pro achieves a higher ELO score (1266 vs 1251), suggesting stronger performance on open-ended tasks. Gemini 1.5 Pro excels at 2m token context window — largest available commercially. Mistral Large is known for strong european data residency option.

Which should you choose: Gemini 1.5 Pro or Mistral Large?

Choose Gemini 1.5 Pro if:
  • 2M token context window — largest available commercially
  • Strong multimodal capabilities (text, images, video, audio)
  • Excellent price-to-quality ratio
Choose Mistral Large if:
  • Strong European data residency option
  • Excellent multilingual performance especially French/German
  • Good coding capabilities

Frequently Asked Questions

Which is cheaper: Gemini 1.5 Pro or Mistral Large?

Gemini 1.5 Pro is cheaper at $1.25/1M per 1M input tokens, making it 1.6x more affordable.

Which has better quality: Gemini 1.5 Pro or Mistral Large?

Gemini 1.5 Pro scores higher on the LMSYS Chatbot Arena with an ELO of 1266, suggesting better overall quality for most tasks.

Which has a larger context window: Gemini 1.5 Pro or Mistral Large?

Gemini 1.5 Pro has a larger context window at 2000K tokens.

Should I choose Gemini 1.5 Pro or Mistral Large?

Choose Gemini 1.5 Pro if cost is the priority. Choose Gemini 1.5 Pro if benchmark quality is most important. Consider your specific use case: Gemini 1.5 Pro is best for long-context and document-analysis, while Mistral Large excels at translation and coding.

Is Gemini 1.5 Pro or Mistral Large open source?

Gemini 1.5 Pro is proprietary. Mistral Large is proprietary.

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