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Llama4 Maverick vs Qwen2.5 VL 32B Instruct
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
Qwen2.5 VL 32B Instruct
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.
Same context window size for both models.
Llama4 Maverick and Qwen2.5 VL 32B Instruct have identical context windows (128K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Llama4 Maverick | Qwen2.5 VL 32B Instruct |
|---|---|---|
| Context window | 128,000 tokens (128K) | 128,000 tokens (128K) |
| Max output tokens | 16,384 tokens (16K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | No | Yes |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | Mar 2025 |
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 | Llama4 Maverick in | Llama4 Maverick out | Qwen2.5 VL 32B Instruct in | Qwen2.5 VL 32B Instruct out |
|---|---|---|---|---|
| Snowflake | $0.240/M | $0.970/M | — | — |
Frequently asked questions
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