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GPT-4o mini vs Mistral Large

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

Quick Verdict

GPT-4o mini is cheaper than Mistral Large at $0.15/1M/1M vs $2.00/1M/1M input tokens — a 13.3x cost difference. GPT-4o mini scores higher on quality benchmarks (ELO 1272). Choose GPT-4o mini for cost-sensitive workloads; both are strong choices depending on your budget.

Detailed Comparison

MetricGPT-4o miniMistral Large
Input Price / 1M tokens$0.15/1MCheaper$2.00/1M
Output Price / 1M tokens$0.60/1MCheaper$6.00/1M
Context Window128K131KLarger
ELO Score (LMSYS)1272Smarter1251
Open Source
Free Tier
Release Date2024-072024-02

Which is cheaper: GPT-4o mini or Mistral Large?

GPT-4o mini is the cheaper option at $0.15/1M per 1M input tokens, compared to $2.00/1M for Mistral Large. That is a 13.3x cost difference on input tokens. Output pricing follows a similar pattern: GPT-4o mini charges $0.60/1M/1M vs $6.00/1M/1M for Mistral Large.

Which has better quality: GPT-4o mini or Mistral Large?

Based on LMSYS Chatbot Arena rankings, GPT-4o mini achieves a higher ELO score (1272 vs 1251), suggesting stronger performance on open-ended tasks. GPT-4o mini excels at extremely low cost — cheapest flagship-family model. Mistral Large is known for strong european data residency option.

Which should you choose: GPT-4o mini or Mistral Large?

Choose GPT-4o mini if:
  • Extremely low cost — cheapest flagship-family model
  • Fast inference
  • Good at structured data extraction
Choose Mistral Large if:
  • Strong European data residency option
  • Excellent multilingual performance especially French/German
  • Good coding capabilities

Frequently Asked Questions

Which is cheaper: GPT-4o mini or Mistral Large?

GPT-4o mini is cheaper at $0.15/1M per 1M input tokens, making it 13.3x more affordable.

Which has better quality: GPT-4o mini or Mistral Large?

GPT-4o mini scores higher on the LMSYS Chatbot Arena with an ELO of 1272, suggesting better overall quality for most tasks.

Which has a larger context window: GPT-4o mini or Mistral Large?

Mistral Large has a larger context window at 131K tokens.

Should I choose GPT-4o mini or Mistral Large?

Choose GPT-4o mini if cost is the priority. Choose GPT-4o mini if benchmark quality is most important. Consider your specific use case: GPT-4o mini is best for customer-support and data-extraction, while Mistral Large excels at translation and coding.

Is GPT-4o mini or Mistral Large open source?

GPT-4o mini is proprietary. Mistral Large is proprietary.

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