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Gpt Realtime 1 5 vs Mistral Large 2402
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
Mistral Large 2402
Context window
32K
32,000 tokens · ~24K 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.
Same context window size for both models.
Gpt Realtime 1 5 and Mistral Large 2402 have identical context windows (32K tokens). Mistral Large 2402 is 0% cheaper on input.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Gpt Realtime 1 5 | Mistral Large 2402 |
|---|---|---|
| Context window | 32,000 tokens (32K) | 32,000 tokens (32K) |
| Max output tokens | 4,096 tokens (4K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | N/A | N/A |
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 Realtime 1 5 in | Gpt Realtime 1 5 out | Mistral Large 2402 in | Mistral Large 2402 out |
|---|---|---|---|---|
| Azure | — | — | $8.00/M | $24.00/M |
| Mistral | — | — | $4.00/M | $12.00/M |
| Openai | $4.00/M | $16.00/M | — | — |
Frequently asked questions
Powered by Mem0
Use a smaller model.
Get better results.
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