Compare
Grok 4.5 vs Llama 4 Maverick
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
Llama 4 Maverick
Context window
1.0M
1,048,576 tokens · ~786K 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.
Llama 4 Maverick has about 2.1× the context window of the other in this pair.
Llama 4 Maverick has 109% more context capacity (1048K vs 500K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Llama 4 Maverick. Its 1048K context fits entire documents without chunking (vs 500K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Grok 4.5 | Llama 4 Maverick |
|---|---|---|
| Context window | 500,000 tokens (500K) | 1,048,576 tokens (1048K) |
| Max output tokens | N/A | 16,384 tokens (16K) |
| Speed tier | Balanced | Balanced |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Jul 2026 | Apr 2025 |
Frequently asked questions
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Example: a multi-turn chat session
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