Compare
Grok Code Fast 1 0825 vs Mistral Large Latest
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
Grok Code Fast 1 0825
Context window
256K
256,000 tokens · ~192K words
Model
Mistral Large Latest
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.
Grok Code Fast 1 0825 has about 8× the context window of the other in this pair.
Grok Code Fast 1 0825 has 700% more context capacity (256K vs 32K tokens). Grok Code Fast 1 0825 is 60% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Grok Code Fast 1 0825. Its 256K context fits entire documents without chunking (vs 32K).
RAG / high-volume retrieval
Use Grok Code Fast 1 0825. Input tokens are 60% cheaper — critical when sending large retrieved contexts.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Grok Code Fast 1 0825 | Mistral Large Latest |
|---|---|---|
| Context window | 256,000 tokens (256K) | 32,000 tokens (32K) |
| Max output tokens | 256,000 tokens (256K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | 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 | Grok Code Fast 1 0825 in | Grok Code Fast 1 0825 out | Mistral Large Latest in | Mistral Large Latest out |
|---|---|---|---|---|
| Azure | — | — | $8.00/M | $24.00/M |
| Google Vertex | — | — | $2.00/M | $6.00/M |
| Mistral | — | — | $0.500/M | $1.50/M |
| Xai | $0.200/M | $1.50/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