Alibaba Cloud / Qwenopen-weight
Released: 2025-07-29Qwen: Qwen3 30B A3B Instruct 2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Intelligence Index
81.0/ 100
Calibrated multi-domain compositeThroughput Speed
130tok/sec
Output streaming throughputTime To First Token
280ms
Initial chunk server latencyLiveBench Contam-Free
71.3%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning74.5%
Coding & Repo Repair72.9%
Mathematics (AIME)72.1%
Data Analysis & Tables68.9%
Language & Comprehension70.5%
Instruction Following71.3%
Sourced Benchmark Evaluations (60)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| ARC-AGI-3 | Active | 51.1% | 93 | 2025-09-02 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 61.3% | 75 | 2025-08-26 | independent | Source ↗ |
| FrontierMath | Active | 21.1% | 98 | 2025-08-23 | independent | Source ↗ |
| PutnamBench | Active | 39.2% | 90 | 2025-08-22 | independent | Source ↗ |
| Omni-MATH | Deprecated | 55.7% | 10 | 2025-08-20 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 52.4% | 20 | 2025-08-20 | independent | Source ↗ |
| FrontierCode | Active | 44.7% | 98 | 2025-08-18 | independent | Source ↗ |
| Soohak | Active | 57.2% | 98 | 2025-08-18 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 60.6% | 75 | 2025-08-16 | independent | Source ↗ |
| Humanity's Last Exam | Active | 34.6% | 93 | 2025-08-16 | independent | Source ↗ |
| AIME | Nearing Saturation | 71.5% | 75 | 2025-08-16 | independent | Source ↗ |
| OlympiadBench | Active | 61.7% | 80 | 2025-08-15 | independent | Source ↗ |
| Terminal-Bench | Active | 53.9% | 80 | 2025-08-14 | independent | Source ↗ |
| FireBench | Active | 59.9% | 95 | 2025-08-14 | independent | Source ↗ |
| MathArena | Active | 60.2% | 99 | 2025-08-14 | independent | Source ↗ |
| SimpleQA | Active | 42.1% | 90 | 2025-08-13 | independent | Source ↗ |
| OpenAI-MRCR | Active | 68% | 80 | 2025-08-13 | independent | Source ↗ |
| CodeContests | Deprecated | 50.1% | 10 | 2025-08-13 | independent | Source ↗ |
| SWE-bench Pro | Active | 47.7% | 90 | 2025-08-12 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 58.5% | 80 | 2025-08-12 | independent | Source ↗ |
| LongBench-Pro | Active | 66.4% | 80 | 2025-08-12 | independent | Source ↗ |
| MultiPL-E | Deprecated | 70.8% | 10 | 2025-08-11 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 64.8% | 78 | 2025-08-11 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 68.9% | 65 | 2025-08-10 | independent | Source ↗ |
| LiveCodeBench | Saturated | 63.1% | 39 | 2025-08-10 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 48.5% | 80 | 2025-08-10 | independent | Source ↗ |
| MATH | Saturated | 73.8% | 25 | 2025-08-10 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 64.8% | 65 | 2025-08-09 | independent | Source ↗ |
| Mercury | Deprecated | 67.8% | 10 | 2025-08-09 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 74.5% | 75 | 2025-08-09 | independent | Source ↗ |
| TabMWP | Saturated | 69.3% | 25 | 2025-08-08 | independent | Source ↗ |
| CyberSecEval | Deprecated | 69.3% | 10 | 2025-08-08 | independent | Source ↗ |
| RULER | Nearing Saturation | 74.5% | 84 | 2025-08-08 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 60.1% | 25 | 2025-08-07 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 71.3% | 78 | 2025-08-07 | independent | Source ↗ |
| MMLU-Redux | Saturated | 79.4% | 25 | 2025-08-07 | independent | Source ↗ |
| SWE-bench | Deprecated | 52.4% | 10 | 2025-08-06 | independent | Source ↗ |
| MGSM | Nearing Saturation | 71.5% | 65 | 2025-08-06 | independent | Source ↗ |
| LongBench | Nearing Saturation | 69.7% | 65 | 2025-08-06 | independent | Source ↗ |
| QASPER | Nearing Saturation | 67.2% | 65 | 2025-08-05 | independent | Source ↗ |
| TruthfulQA | Saturated | 71.3% | 25 | 2025-08-05 | independent | Source ↗ |
| AGIEval | Saturated | 67.6% | 25 | 2025-08-05 | independent | Source ↗ |
| SuperGLUE | Saturated | 80.2% | 25 | 2025-08-04 | independent | Source ↗ |
| GSM-Hard | Deprecated | 72.3% | 10 | 2025-08-04 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 7.3% | 75 | 2025-08-03 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 77% | 25 | 2025-08-03 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 72.4% | 23 | 2025-08-03 | independent | Source ↗ |
| WinoGrande | Saturated | 81.7% | 28 | 2025-08-02 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 78.5% | 65 | 2025-08-02 | independent | Source ↗ |
| IFEval | Deprecated | 69.9% | 25 | 2025-08-02 | independent | Source ↗ |
| GPQA | Nearing Saturation | 71.3% | 78 | 2025-08-02 | independent | Source ↗ |
| HumanEval+ | Saturated | 83.2% | 25 | 2025-08-01 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 96.2% | 44 | 2025-08-01 | independent | Source ↗ |
| CommonsenseQA | Saturated | 82.5% | 28 | 2025-08-01 | independent | Source ↗ |
| GSM8K | Saturated | 81.3% | 25 | 2025-07-31 | independent | Source ↗ |
| GLUE | Saturated | 84.9% | 28 | 2025-07-31 | independent | Source ↗ |
| MBPP | Saturated | 81.6% | 25 | 2025-07-31 | independent | Source ↗ |
| HumanEval | Saturated | 87.8% | 25 | 2025-07-30 | independent | Source ↗ |
| MMLU | Saturated | 82.6% | 25 | 2025-07-30 | independent | Source ↗ |
| ARC-AGI | Saturated | 73.9% | 25 | 2025-07-30 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run qwen-qwen3-30b-a3b-instruct-2507
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "qwen-qwen3-30b-a3b-instruct-2507",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'Evaluation & Sourcing Notes
Scores listed for Qwen: Qwen3 30B A3B Instruct 2507 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.