Released: 2024-11-12

Qwen 2.5 Coder 32B

Specialized open-weight coding model matching GPT-4o on code repair, synthesis, and multi-file software engineering.

Intelligence Index
81.5/ 100
Calibrated multi-domain composite
Throughput Speed
75tok/sec
Output streaming throughput
Time To First Token
340ms
Initial chunk server latency
LiveBench Contam-Free
67.0%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Coding & Repo Repair74.0%

Sourced Benchmark Evaluations (2)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation60.8%
75
2024-12-10independentSource ↗
SWE-bench VerifiedSaturated56.2%
25
2024-11-21independentSource ↗
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run qwen-2-5-coder-32b

# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-2-5-coder-32b",
    "messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
  }'

Evaluation & Sourcing Notes

Scores listed for Qwen 2.5 Coder 32B represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.