Home/Compare/GPT-4 Turbo vs Mistral Large

GPT-4 Turbo vs Mistral Large

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

Quick Verdict

Mistral Large is cheaper than GPT-4 Turbo at $2.00/1M/1M vs $10.00/1M/1M input tokens — a 5.0x cost difference. GPT-4 Turbo scores higher on quality benchmarks (ELO 1260). Choose Mistral Large for cost-sensitive workloads; choose GPT-4 Turbo for maximum quality.

Detailed Comparison

MetricGPT-4 TurboMistral Large
Input Price / 1M tokens$10.00/1M$2.00/1MCheaper
Output Price / 1M tokens$30.00/1M$6.00/1MCheaper
Context Window128K131KLarger
ELO Score (LMSYS)1260Smarter1251
Open Source
Free Tier
Release Date2023-112024-02

Which is cheaper: GPT-4 Turbo or Mistral Large?

Mistral Large is the cheaper option at $2.00/1M per 1M input tokens, compared to $10.00/1M for GPT-4 Turbo. That is a 5.0x cost difference on input tokens. Output pricing follows a similar pattern: GPT-4 Turbo charges $30.00/1M/1M vs $6.00/1M/1M for Mistral Large.

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

Based on LMSYS Chatbot Arena rankings, GPT-4 Turbo achieves a higher ELO score (1260 vs 1251), suggesting stronger performance on open-ended tasks. GPT-4 Turbo excels at strong general reasoning. Mistral Large is known for strong european data residency option.

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

Choose GPT-4 Turbo if:
  • Strong general reasoning
  • Good at following complex multi-step instructions
  • Reliable tool/function calling
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-4 Turbo or Mistral Large?

Mistral Large is cheaper at $2.00/1M per 1M input tokens, making it 5.0x more affordable.

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

GPT-4 Turbo scores higher on the LMSYS Chatbot Arena with an ELO of 1260, suggesting better overall quality for most tasks.

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

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

Should I choose GPT-4 Turbo or Mistral Large?

Choose Mistral Large if cost is the priority. Choose GPT-4 Turbo if benchmark quality is most important. Consider your specific use case: GPT-4 Turbo is best for coding and function-calling, while Mistral Large excels at translation and coding.

Is GPT-4 Turbo or Mistral Large open source?

GPT-4 Turbo is proprietary. Mistral Large is proprietary.

Related Comparisons

o3 vs GPT-4 Turbo
o3 vs Mistral Large
DeepSeek R1 vs GPT-4 Turbo
DeepSeek R1 vs Mistral Large
o1 vs GPT-4 Turbo
o1 vs Mistral Large