Compare
Grok 2 Latest vs Mistral Large
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
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 2 Latest has about 4.1× the context window of the other in this pair.
Grok 2 Latest has 309% more context capacity (131K vs 32K tokens). Grok 2 Latest is 33% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Grok 2 Latest. Its 131K context fits entire documents without chunking (vs 32K).
RAG / high-volume retrieval
Use Grok 2 Latest. Input tokens are 33% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Grok 2 Latest. Its 131K 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 | Grok 2 Latest | Mistral Large |
|---|---|---|
| Context window | 131,072 tokens (131K) | 32,000 tokens (32K) |
| Max output tokens | 131,072 tokens (131K) | 8,191 tokens (8K) |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | N/A | Feb 2024 |
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 2 Latest in | Grok 2 Latest out | Mistral Large in | Mistral Large out |
|---|---|---|---|---|
| Azure | — | — | $4.00/M | $12.00/M |
| Ibm Watsonx | — | — | $3.00/M | $10.00/M |
| Openrouter | — | — | $8.00/M | $24.00/M |
| Snowflake | — | — | — | — |
| Xai | $2.00/M | $10.00/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