Qwen2.5 Coder 32B Instruct Rank

Qwen2.5 Coder 32B Instruct has an overall score of 47 out of 100, tied for rank 279 of 291. The published scores are price 64, context 27, parameters 38, and freshness 60. The overall score is their average. recency is not published and is left out of the average.

Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC

Overall score
47
Rank
279

tied for rank 279 of 291

Component scores

ScoreResultPublished valueSource
Freshness60AI Knowledge Cutoff
Recency——AI Release Date
Context2732.8K tokens, output 29.5KAI Context Window
Parameters3832B totalAI Parameter Count
Price64$0.745 / 1M blended, $0.66 / 1M input, $1 / 1M outputAI Token Price

278 listed models have a higher overall score. Among Qwen2.5 Coder 32B Instruct models, it ranks 38 of 38.

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

All Qwen2.5 Coder 32B Instruct modelsBest modelsHow the score is calculated

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Frequently asked questions

What is the Qwen2.5 Coder 32B Instruct rank?

Qwen2.5 Coder 32B Instruct has an overall score of 47 out of 100, tied for rank 279 of 291. The published scores are price 64, context 27, parameters 38, and freshness 60. The overall score is their average. recency is not published and is left out of the average.

Where does Qwen2.5 Coder 32B Instruct rank?

Qwen2.5 Coder 32B Instruct is tied for rank 279 of 291. 278 listed models have a higher overall score. Among Qwen2.5 Coder 32B Instruct models, it ranks 38 of 38.

What scores make up Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct scores price 64 (AI Token Price), context 27 (AI Context Window), parameters 38 (AI Parameter Count), and freshness 60 (AI Knowledge Cutoff). The overall score of 47 is the average of those 4.