Alibaba Cloud / Qwenopen-weight
Released: 2024-09-19Qwen 2.5 72B Instruct
Alibaba 72B dense open-weight general-purpose instruct model.
Intelligence Index
85.5/ 100
Calibrated multi-domain compositeThroughput Speed
82tok/sec
Output streaming throughputTime To First Token
340ms
Initial chunk server latencyLiveBench Contam-Free
76.5%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning81.0%
Coding & Repo Repair77.0%
Mathematics (AIME)81.5%
Data Analysis & Tables74.0%
Language & Comprehension73.5%
Instruction Following72.0%
Sourced Benchmark Evaluations (2)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| SWE-bench Verified | Saturated | 61.6% | 25 | 2024-09-28 | independent | Source ↗ |
| IFEval | Deprecated | 72% | 25 | 2024-09-23 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run qwen-2-5-72b-instruct
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "qwen-2-5-72b-instruct",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'Evaluation & Sourcing Notes
Scores listed for Qwen 2.5 72B Instruct 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.