Compare
Olmo 3.1 32B Instruct vs Xai Grok 4 7
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
Xai Grok 4 7
Context window
500K
500,000 tokens · ~375K 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.
Xai Grok 4 7 has about 7.6× the context window of the other in this pair.
Xai Grok 4 7 has 662% more context capacity (500K vs 65K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Xai Grok 4 7. Its 500K context fits entire documents without chunking (vs 65K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Olmo 3.1 32B Instruct | Xai Grok 4 7 |
|---|---|---|
| Context window | 65,536 tokens (65K) | 500,000 tokens (500K) |
| Max output tokens | N/A | 500,000 tokens (500K) |
| Speed tier | Balanced | Balanced |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | Jan 2026 | 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 | Olmo 3.1 32B Instruct in | Olmo 3.1 32B Instruct out | Xai Grok 4 7 in | Xai Grok 4 7 out |
|---|---|---|---|---|
| Aws Bedrock | — | — | $2.00/M | $6.00/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