Qwen/Qwen2.5-Coder-32B-Instruct — Open LLM Leaderboard #276
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceQwen
In this report, we introduce the Qwen2. 5-Coder series, a significant upgrade from its predecessor, CodeQwen1. 5. This series includes six models: Qwen2. 5-Coder-(0. 5B/1. 5B/3B/7B/14B/32B). As a code-specific model, Qwen2.
Running this yourself: likely needs a rented cloud gpu.
These models have been evaluated on a wide range of code-related tasks, achieving state-of-the-art (SOTA) performance across more than 10 benchmarks, including code generation, completion, reasoning, and repair, consistently outperforming larger models of the same model size.
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34.4
Quality Score
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Arena ELO
33B
Parameters
33K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
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1.9K
Downloads
163
Likes
Nov 2024
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
4/4 signals
Parameters
33B
Training compute
1.1e24 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
Benchmarks
19
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceAvg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceAvg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceAvg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceAvg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
View sourceAvg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Avg: 39.9 | IFEval: 72.7 | BBH: 52.3 | MATH: 49.5 | GPQA: 13.2 | MMLU-PRO: 37.9
Qwen2.5-Coder-32B is now available through local Ollama runtime. 32K context window listed. The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.