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Mistral Large 3 vs GPT-5.4 nano

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

Quick Verdict

GPT-5.4 nano is cheaper than Mistral Large 3 at $0.20/1M/1M vs $2.00/1M/1M input tokens — a 10.0x cost difference. Mistral Large 3 scores higher on quality benchmarks (ELO 1320). Choose GPT-5.4 nano for cost-sensitive workloads; choose Mistral Large 3 for maximum quality.

Detailed Comparison

MetricMistral Large 3GPT-5.4 nano
Input Price / 1M tokens$2.00/1M$0.20/1MCheaper
Output Price / 1M tokens$6.00/1M$1.25/1MCheaper
Context Window131K272KLarger
ELO Score (LMSYS)1320Smarter1280
Open Source
Free Tier
Release Date2025-122026-03

Which is cheaper: Mistral Large 3 or GPT-5.4 nano?

GPT-5.4 nano is the cheaper option at $0.20/1M per 1M input tokens, compared to $2.00/1M for Mistral Large 3. That is a 10.0x cost difference on input tokens. Output pricing follows a similar pattern: Mistral Large 3 charges $6.00/1M/1M vs $1.25/1M/1M for GPT-5.4 nano.

Which has better quality: Mistral Large 3 or GPT-5.4 nano?

Based on LMSYS Chatbot Arena rankings, Mistral Large 3 achieves a higher ELO score (1320 vs 1280), suggesting stronger performance on open-ended tasks. Mistral Large 3 excels at european data residency — gdpr-friendly. GPT-5.4 nano is known for cheapest openai model — $0.20/1m input.

Which should you choose: Mistral Large 3 or GPT-5.4 nano?

Choose Mistral Large 3 if:
  • European data residency — GDPR-friendly
  • Strong multilingual performance (French, German, Spanish)
  • Competitive pricing vs. US flagships
Choose GPT-5.4 nano if:
  • Cheapest OpenAI model — $0.20/1M input
  • Good at classification, routing, and extraction
  • 272K context window even at low price

Frequently Asked Questions

Which is cheaper: Mistral Large 3 or GPT-5.4 nano?

GPT-5.4 nano is cheaper at $0.20/1M per 1M input tokens, making it 10.0x more affordable.

Which has better quality: Mistral Large 3 or GPT-5.4 nano?

Mistral Large 3 scores higher on the LMSYS Chatbot Arena with an ELO of 1320, suggesting better overall quality for most tasks.

Which has a larger context window: Mistral Large 3 or GPT-5.4 nano?

GPT-5.4 nano has a larger context window at 272K tokens.

Should I choose Mistral Large 3 or GPT-5.4 nano?

Choose GPT-5.4 nano if cost is the priority. Choose Mistral Large 3 if benchmark quality is most important. Consider your specific use case: Mistral Large 3 is best for translation and coding, while GPT-5.4 nano excels at low-cost and fast-response.

Is Mistral Large 3 or GPT-5.4 nano open source?

Mistral Large 3 is proprietary. GPT-5.4 nano is proprietary.

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