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GPT-5.6 Luna vs Mistral Small Creative
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
GPT-5.6 Luna
Context window
1.1M
1,050,000 tokens · ~788K words
Model
Mistral Small Creative
Context window
33K
32,768 tokens · ~25K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
GPT-5.6 Luna has about 32× the context window of the other in this pair.
GPT-5.6 Luna has 3104% more context capacity (1050K vs 32K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use GPT-5.6 Luna. Its 1050K context fits entire documents without chunking (vs 32K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | GPT-5.6 Luna | Mistral Small Creative |
|---|---|---|
| Context window | 1,050,000 tokens (1050K) | 32,768 tokens (32K) |
| Max output tokens | 128,000 tokens (128K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | Jul 2026 | Dec 2025 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | GPT-5.6 Luna in | GPT-5.6 Luna out | Mistral Small Creative in | Mistral Small Creative out |
|---|---|---|---|---|
| Openai | $1.00/M | $6.00/M | — | — |
Frequently asked questions
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Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model