qwen

Qwen: Qwen2.5 7B Instruct

Qwen2.5 7B Instruct is a text-only model from Qwen with a 131,072-token context window and a maximum completion length of 32,768 tokens. It does not support tool use, reasoning modes, or structured output, so it is best suited to straightforward text generation and comprehension tasks rather than agentic or schema-driven workflows. At $0.04 per million input tokens and $0.10 per million output tokens, it sits at the lower end of the pricing spectrum, which makes it worth considering for high-volume, cost-sensitive use cases where budget matters more than verified performance. The caveat is real: there is currently no independent benchmark coverage for this model, so its quality relative to competitors is unproven. Buyers who need documented benchmark comparisons before committing should wait for third-party evaluations, while those comfortable running their own evals may find the price point a reasonable entry for testing.

Quality Score
71/100
price + capability + benchmarks
Input Price
$0.04
per 1M tokens
Output Price
$0.10
per 1M tokens
Context Window
131,072
tokens
Model ID
qwen/qwen-2.5-7b-instruct
Vendor
qwen
Tokenizer
Qwen
Input Modalities
text
Output Modalities
text
Max Output
32,768 tokens
Tool Calling
not supported
Structured Output
not supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

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