Qwen2.5 VL 72B Instruct
Built by Alibaba (Qwen) · China · qwen.ai
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
How to use
model: "qwen/qwen2.5-vl-72b-instruct"
Cap quality here and save
Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.
{ "model": "celon/auto", "celon": { "anchor": "qwen/qwen2.5-vl-72b-instruct", "savings_target": 0.4 } }
Naming a model directly gets you that model — savings controls don't apply.
Context
Max output
Input $/1M
Output $/1M
Features
Serving providers
NovitaProviders
Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.
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Performance
Benchmark quality scores, and measured speed per provider.
Quality
At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.
Speed
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