GPT-4o vs Mistral Large 3: API pricing

OpenAI's GPT-4o against Mistral's Mistral Large 3 on price alone — per-token rates, caching, and context window. Run your own workload through both with the calculator below; capability differences are yours to judge on your evals.

GPT-4oMistral Large 3
Input / 1M tokens$2.50$0.50
Cached input / 1M$1.25
Output / 1M tokens$10.00$1.50
Context window125K256K
Max output16K256K
VendorOpenAIMistral

Prices last synced Aug 20, 2026 from the LiteLLM community price catalog — the same catalog Marginal prices real usage events against, refreshed daily. Spot an error? Tell us.

Price takeaways

  • Input: Mistral Large 3 is 5x cheaper.
  • Output: Mistral Large 3 is 7x cheaper.
  • Ratios shift with workload shape — output-heavy traffic weights the output rate, cache-friendly traffic weights the cached rate. The calculator below does the arithmetic on your numbers.

Your workload on both

Your monthly workload

Cache hit rate = share of input tokens served from the provider's prompt cache, billed at the model's cached-input price. Estimates use standard per-token rates — batch discounts, service tiers, and long-context surcharges are not applied.

GPT-4oMistral Large 3
ModelInputCached inputOutputPer requestMonthly
Mistral Large 3cheapest$300$200*$375$0.00175$875
GPT-4o$1,500$500$2,500$0.00900$4,500
Rates used: GPT-4o $2.50 in / $10.00 out · Mistral Large 3 $0.50 in / $1.50 out

Related comparisons

Switching models? Watch the bill move in real time.

Marginal prices every call against that day's rates, so an A/B between these two shows up as dollars per customer and feature — not a surprise at month end.