Compare
Devstral Medium Latest vs Gpt 4o Mini Realtime Preview
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
Devstral Medium Latest
Context window
256K
256,000 tokens · ~192K words
Model
Gpt 4o Mini Realtime Preview
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 Medium Latest has about 2× the context window of the other in this pair.
Devstral Medium Latest has 100% more context capacity (256K vs 128K tokens). Devstral Medium Latest is 33% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Devstral Medium Latest. Its 256K context fits entire documents without chunking (vs 128K).
RAG / high-volume retrieval
Use Devstral Medium Latest. Input tokens are 33% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Devstral Medium Latest. Its 256K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Devstral Medium Latest | Gpt 4o Mini Realtime Preview |
|---|---|---|
| Context window | 256,000 tokens (256K) | 128,000 tokens (128K) |
| Max output tokens | 256,000 tokens (256K) | 4,096 tokens (4K) |
| Speed tier | Balanced | Fast |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | No | Yes |
| Batch API | No | Yes |
| 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 | Devstral Medium Latest in | Devstral Medium Latest out | Gpt 4o Mini Realtime Preview in | Gpt 4o Mini Realtime Preview out |
|---|---|---|---|---|
| Mistral | $0.400/M | $2.00/M | — | — |
| Openai | — | — | $0.600/M | $2.40/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