Qwen·#278 of 352 on the current board·cheaper than #252 Nemotron 3 Ultra
Qwen2.5 Coder 32B Instruct is a language model from Qwen. It ranks #278 of 352 on ModelCap's current board, with an Index score of 22.4, measured on 2 public benchmarks. Its score range of 16.7–28.1 spans positions #249–#294. It is listed at $0.66 per million input tokens and $1.00 per million output tokens from one provider. It reads up to 33K tokens of context, and its weights are openly downloadable.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Not yet published: pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
qwen/qwen-2.5-coder-32b-instructOpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
Models within 3 places of #278 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
Qwen2.5 Coder 32B Instruct holds ModelCap Index position #278 of 352 ranked language models as of 6 November 2026, with an Index score of 22.4 (interval 16.7–28.1); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
Qwen2.5 Coder 32B Instruct is listed at $0.66 per 1M input tokens and $1.00 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.82 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
Qwen2.5 Coder 32B Instruct has a published context window of 33K tokens (32,768). The snapshot lists a 29,491 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen2.5-Coder-32B-Instruct on Hugging Face.
One provider serves Qwen2.5 Coder 32B Instruct through OpenRouter as of 6 November 2026: Cloudflare. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Qwen2.5 Coder 32B Instruct has published results on 3 public boards tracked by ModelCap as of 6 November 2026: Arena text 1271 (#314 of 419), Arena coding 1342 (#284 of 414) and SWE-bench 9.0% (#47 of 47). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
Qwen2.5 Coder 32B Instruct ranks #278 (Index 22.4) and Qwen2.5 72B Instruct ranks #249 (Index 27.6) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
Qwen2.5 Coder 32B Instruct first appeared in the catalogue on 11 Nov 2024, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.