qwen

Qwen2.5 72B Instruct

Qwen2.5 72B Instruct is a text-only model from Qwen with a 131,072-token context window and a 16,384-token output ceiling. It supports tool use, which makes it usable in agentic or function-calling workflows. It does not support reasoning mode, and structured output support is unconfirmed, so workflows that depend on guaranteed JSON schemas should be tested carefully before committing. At $0.36 per million input tokens and $0.40 per million output tokens, the pricing sits in the budget-to-mid range. Its blended benchmark score of 31.1 is drawn from only one benchmark, so the performance picture is thin; treat that number as a starting signal rather than a settled verdict. Teams looking for a tool-capable, long-context model at a modest cost may find it worth trialing, but the sparse benchmark coverage means head-to-head comparisons with better-tested alternatives should include your own task-specific evaluation.

Quality Score
86/100
price + capability + benchmarks
Input Price
$0.36
per 1M tokens
Output Price
$0.40
per 1M tokens
Context Window
131,072
tokens
Model ID
qwen/qwen-2.5-72b-instruct
Vendor
qwen
Tokenizer
Qwen
Input Modalities
text
Output Modalities
text
Max Output
16,384 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

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