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Devstral Small 1.1 vs Gpt 4o Realtime Preview 2025 06 03
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 4o Realtime Preview 2025 06 03
Context window
128K
128,000 tokens · ~96K 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.
Devstral Small 1.1 has about 1× the context window of the other in this pair.
Devstral Small 1.1 has 2% more context capacity (131K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Devstral Small 1.1. Its 131K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Devstral Small 1.1 | Gpt 4o Realtime Preview 2025 06 03 |
|---|---|---|
| Context window | 131,072 tokens (131K) | 128,000 tokens (128K) |
| Max output tokens | N/A | 4,096 tokens (4K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | Yes | Yes |
| Batch API | No | Yes |
| Release date | Jul 2025 | 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 | Devstral Small 1.1 in | Devstral Small 1.1 out | Gpt 4o Realtime Preview 2025 06 03 in | Gpt 4o Realtime Preview 2025 06 03 out |
|---|---|---|---|---|
| Openai | — | — | $5.00/M | $20.00/M |
Frequently asked questions
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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