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Alibaba Qwen3 32b vs Qwen2 5 Vl 72b
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 72b
Context window
131K
131,072 tokens · ~98K 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.
Alibaba Qwen3 32b and Qwen2 5 Vl 72b have identical context windows (131K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Alibaba Qwen3 32b | Qwen2 5 Vl 72b |
|---|---|---|
| Context window | 131,072 tokens (131K) | 131,072 tokens (131K) |
| Max output tokens | N/A | 131,072 tokens (131K) |
| Speed tier | Balanced | Deep |
| Vision | No | Yes |
| Function calling | No | Yes |
| Extended thinking | No | No |
| Prompt caching | No | Yes |
| Batch API | No | 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 | Alibaba Qwen3 32b in | Alibaba Qwen3 32b out | Qwen2 5 Vl 72b in | Qwen2 5 Vl 72b out |
|---|---|---|---|---|
| Gradient | — | — | — | — |
| Nebius | — | — | $0.130/M | $0.400/M |
| Novita | — | — | $0.800/M | $0.800/M |
| Ovhcloud | — | — | $0.910/M | $0.910/M |
Frequently asked questions
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Use a smaller model.
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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