GPT-5.4 mini vs Mistral Large 3
Pricing, context window, and benchmark comparison · Last updated April 2026
GPT-5.4 mini is cheaper than Mistral Large 3 at $0.75/1M/1M vs $2.00/1M/1M input tokens — a 2.7x cost difference. GPT-5.4 mini scores higher on quality benchmarks (ELO 1360). Choose GPT-5.4 mini for cost-sensitive workloads; both are strong choices depending on your budget.
Which is cheaper: GPT-5.4 mini or Mistral Large 3?
GPT-5.4 mini is the cheaper option at $0.75/1M per 1M input tokens, compared to $2.00/1M for Mistral Large 3. That is a 2.7x cost difference on input tokens. Output pricing follows a similar pattern: GPT-5.4 mini charges $4.50/1M/1M vs $6.00/1M/1M for Mistral Large 3.
Which has better quality: GPT-5.4 mini or Mistral Large 3?
Based on LMSYS Chatbot Arena rankings, GPT-5.4 mini achieves a higher ELO score (1360 vs 1320), suggesting stronger performance on open-ended tasks. GPT-5.4 mini excels at strong mid-tier quality close to gpt-5.4 at 1/3 the price. Mistral Large 3 is known for european data residency — gdpr-friendly.
Which should you choose: GPT-5.4 mini or Mistral Large 3?
- → Strong mid-tier quality close to GPT-5.4 at 1/3 the price
- → Fast inference and low latency
- → Same 272K context window as flagship
- → European data residency — GDPR-friendly
- → Strong multilingual performance (French, German, Spanish)
- → Competitive pricing vs. US flagships
Frequently Asked Questions
Which is cheaper: GPT-5.4 mini or Mistral Large 3?
GPT-5.4 mini is cheaper at $0.75/1M per 1M input tokens, making it 2.7x more affordable.
Which has better quality: GPT-5.4 mini or Mistral Large 3?
GPT-5.4 mini scores higher on the LMSYS Chatbot Arena with an ELO of 1360, suggesting better overall quality for most tasks.
Which has a larger context window: GPT-5.4 mini or Mistral Large 3?
GPT-5.4 mini has a larger context window at 272K tokens.
Should I choose GPT-5.4 mini or Mistral Large 3?
Choose GPT-5.4 mini if cost is the priority. Choose GPT-5.4 mini if benchmark quality is most important. Consider your specific use case: GPT-5.4 mini is best for customer-support and data-extraction, while Mistral Large 3 excels at translation and coding.
Is GPT-5.4 mini or Mistral Large 3 open source?
GPT-5.4 mini is proprietary. Mistral Large 3 is proprietary.