Alibaba Cloud / Qwenopen-weight
Released: 2026-08-12Qwen: Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Intelligence Index
88.5/ 100
Calibrated multi-domain compositeThroughput Speed
55tok/sec
Output streaming throughputTime To First Token
420ms
Initial chunk server latencyLiveBench Contam-Free
77.9%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning81.4%
Coding & Repo Repair79.7%
Mathematics (AIME)78.8%
Data Analysis & Tables75.2%
Language & Comprehension77.0%
Instruction Following77.9%
Sourced Benchmark Evaluations (60)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| ARC-AGI-3 | Active | 55.8% | 93 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 66.9% | 75 | 2026-09-09 | independent | Source ↗ |
| FrontierMath | Active | 23% | 98 | 2026-09-06 | independent | Source ↗ |
| PutnamBench | Active | 42.8% | 90 | 2026-09-05 | independent | Source ↗ |
| Omni-MATH | Deprecated | 60.9% | 10 | 2026-09-03 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 57.2% | 20 | 2026-09-03 | independent | Source ↗ |
| FrontierCode | Active | 48.8% | 98 | 2026-09-01 | independent | Source ↗ |
| Soohak | Active | 62.5% | 98 | 2026-09-01 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 66.2% | 75 | 2026-08-30 | independent | Source ↗ |
| Humanity's Last Exam | Active | 37.8% | 93 | 2026-08-30 | independent | Source ↗ |
| AIME | Nearing Saturation | 78.2% | 75 | 2026-08-30 | independent | Source ↗ |
| OlympiadBench | Active | 67.5% | 80 | 2026-08-29 | independent | Source ↗ |
| Terminal-Bench | Active | 58.9% | 80 | 2026-08-28 | independent | Source ↗ |
| FireBench | Active | 65.4% | 95 | 2026-08-28 | independent | Source ↗ |
| MathArena | Active | 65.8% | 99 | 2026-08-28 | independent | Source ↗ |
| SimpleQA | Active | 46% | 90 | 2026-08-27 | independent | Source ↗ |
| OpenAI-MRCR | Active | 74.3% | 80 | 2026-08-27 | independent | Source ↗ |
| CodeContests | Deprecated | 54.7% | 10 | 2026-08-27 | independent | Source ↗ |
| SWE-bench Pro | Active | 52.1% | 90 | 2026-08-26 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 63.9% | 80 | 2026-08-26 | independent | Source ↗ |
| LongBench-Pro | Active | 72.6% | 80 | 2026-08-26 | independent | Source ↗ |
| MultiPL-E | Deprecated | 77.4% | 10 | 2026-08-25 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 70.8% | 78 | 2026-08-25 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 75.2% | 65 | 2026-08-24 | independent | Source ↗ |
| LiveCodeBench | Saturated | 69% | 39 | 2026-08-24 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 53% | 80 | 2026-08-24 | independent | Source ↗ |
| MATH | Saturated | 80.7% | 25 | 2026-08-24 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 70.8% | 65 | 2026-08-23 | independent | Source ↗ |
| Mercury | Deprecated | 74% | 10 | 2026-08-23 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 81.4% | 75 | 2026-08-23 | independent | Source ↗ |
| TabMWP | Saturated | 75.7% | 25 | 2026-08-22 | independent | Source ↗ |
| CyberSecEval | Deprecated | 75.7% | 10 | 2026-08-22 | independent | Source ↗ |
| RULER | Nearing Saturation | 81.4% | 84 | 2026-08-22 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 65.6% | 25 | 2026-08-21 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 77.9% | 78 | 2026-08-21 | independent | Source ↗ |
| MMLU-Redux | Saturated | 86.7% | 25 | 2026-08-21 | independent | Source ↗ |
| SWE-bench | Deprecated | 57.2% | 10 | 2026-08-20 | independent | Source ↗ |
| MGSM | Nearing Saturation | 78.2% | 65 | 2026-08-20 | independent | Source ↗ |
| LongBench | Nearing Saturation | 76.1% | 65 | 2026-08-20 | independent | Source ↗ |
| QASPER | Nearing Saturation | 73.5% | 65 | 2026-08-19 | independent | Source ↗ |
| TruthfulQA | Saturated | 77.9% | 25 | 2026-08-19 | independent | Source ↗ |
| AGIEval | Saturated | 73.8% | 25 | 2026-08-19 | independent | Source ↗ |
| SuperGLUE | Saturated | 87.5% | 25 | 2026-08-18 | independent | Source ↗ |
| GSM-Hard | Deprecated | 79% | 10 | 2026-08-18 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 8% | 75 | 2026-08-17 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 84.1% | 25 | 2026-08-17 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 79.1% | 23 | 2026-08-17 | independent | Source ↗ |
| WinoGrande | Saturated | 89.2% | 28 | 2026-08-16 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 85.8% | 65 | 2026-08-16 | independent | Source ↗ |
| IFEval | Deprecated | 76.3% | 25 | 2026-08-16 | independent | Source ↗ |
| GPQA | Nearing Saturation | 77.9% | 78 | 2026-08-16 | independent | Source ↗ |
| HumanEval+ | Saturated | 90.8% | 25 | 2026-08-15 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 97.7% | 44 | 2026-08-15 | independent | Source ↗ |
| CommonsenseQA | Saturated | 90.1% | 28 | 2026-08-15 | independent | Source ↗ |
| GSM8K | Saturated | 88.9% | 25 | 2026-08-14 | independent | Source ↗ |
| GLUE | Saturated | 92.7% | 28 | 2026-08-14 | independent | Source ↗ |
| MBPP | Saturated | 89.1% | 25 | 2026-08-14 | independent | Source ↗ |
| HumanEval | Saturated | 95.9% | 25 | 2026-08-13 | independent | Source ↗ |
| MMLU | Saturated | 90.3% | 25 | 2026-08-13 | independent | Source ↗ |
| ARC-AGI | Saturated | 80.7% | 25 | 2026-08-13 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run qwen-qwen3-8-2-4t-a95b
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "qwen-qwen3-8-2-4t-a95b",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'Evaluation & Sourcing Notes
Scores listed for Qwen: Qwen3.8 2.4T A95B 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.