Model comparison

GPT-5.5 Pro vs Mistral Large 3

Compare GPT-5.5 Pro vs Mistral Large 3 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

GPT-5.5 Pro

openai · gpt-5.5-pro

Input
$30
Output
$180
Context
1.1M

Mistral Large 3

mistral · mistral/mistral-large-3

Input
$0.5
Output
$1.5
Context
262.1K

Quick take

Mistral Large 3 has the lower input price at $0.5 per 1M input tokens. Mistral Large 3 is cheaper for the example blended workload below. GPT-5.5 Pro has the larger context window at 1.1M tokens.

Choose GPT-5.5 Pro if...

  • GPT-5.5 Pro is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • GPT-5.5 Pro is stronger when the same large prompt or document is reused because it supports prompt caching.

Choose Mistral Large 3 if...

  • Mistral Large 3 is the better default for cost-sensitive traffic and repeated high-volume calls.
  • Mistral Large 3 gives more room for long generated answers, reports, or code output.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload GPT-5.5 Pro Mistral Large 3 Cheaper
1M input + 200K output $66.00 $0.80 Mistral Large 3
10M input + 2M output $660.00 $8.00 Mistral Large 3
100M input + 20M output $6,600.00 $80.00 Mistral Large 3

Context, output, and capability fit

GPT-5.5 Pro provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

GPT-5.5 Pro max output
128K
Mistral Large 3 max output
262.1K
GPT-5.5 Pro features
prompt caching, function calling, vision
Mistral Large 3 features
function calling, vision

Risk notes for GPT-5.5 Pro

  • High output price: cap max tokens for verbose generation workloads.

Risk notes for Mistral Large 3

  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Routing tags

frontierpremiumreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightenterpriselocal-open

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