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Openai Gpt 4o Mini vs Qwen2 5 Vl 32b
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
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.
Openai Gpt 4o Mini and Qwen2 5 Vl 32b have identical context windows (128K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Openai Gpt 4o Mini | Qwen2 5 Vl 32b |
|---|---|---|
| Context window | 128,000 tokens (128K) | 128,000 tokens (128K) |
| Max output tokens | N/A | 128,000 tokens (128K) |
| Speed tier | Fast | Balanced |
| Vision | No | Yes |
| Function calling | No | Yes |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | Yes | 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 | Openai Gpt 4o Mini in | Openai Gpt 4o Mini out | Qwen2 5 Vl 32b in | Qwen2 5 Vl 32b out |
|---|---|---|---|---|
| Deepinfra | — | — | $0.200/M | $0.600/M |
| Gradient | — | — | — | — |
Frequently asked questions
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