Model comparison
GPT-5.6 Luna vs Mistral Large 3
Compare GPT-5.6 Luna vs Mistral Large 3 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-5.6 Luna
openai · gpt-5.6-luna
- Input
- $1
- Output
- $6
- 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-5.6 Luna has the larger context window at 1.1M tokens.
Choose GPT-5.6 Luna if...
- GPT-5.6 Luna is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GPT-5.6 Luna 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-5.6 Luna | Mistral Large 3 | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $2.20 | $0.80 | Mistral Large 3 |
| 10M input + 2M output | $22.00 | $8.00 | Mistral Large 3 |
| 100M input + 20M output | $220.00 | $80.00 | Mistral Large 3 |
Context, output, and capability fit
GPT-5.6 Luna provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-5.6 Luna max output
- 128K
- Mistral Large 3 max output
- 262.1K
- GPT-5.6 Luna features
- prompt caching, function calling, vision
- Mistral Large 3 features
- function calling, vision
Risk notes for GPT-5.6 Luna
- No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.
Risk notes for Mistral Large 3
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierbudgetfastreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightenterpriselocal-open