Model comparison
Claude Opus 4.8 vs Qwen-14B
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 30.8 on the Noometry Index.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Claude Opus 4.8 scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.2 to 28.7.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.8 | Qwen-14B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 60.7 | 30.8 |
| Released | 2026-05-28 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 65 | 18 |
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Category by category
Coding Claude Opus 4.8 leads
Claude Opus 4.8: 60.2 (#9), Qwen-14B: 30.6 (#283)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Coding | 1491 | 1072 |
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| ALE-Bench | 1,564 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.8: 47.6 (#10), Qwen-14B: —
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |
Reasoning Claude Opus 4.8 leads
Claude Opus 4.8: 64.6 (#14), Qwen-14B: 18.7 (#255)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1481 | 1027 |
| Epoch Capabilities Index | 158.3 | 112.8 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| Kagi LLM Benchmark | 88.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 34% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| Mystery Game Puzzles | 36% | — |
| DTBench | 94.9% | — |
| LMCA | 57.5% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 59.9 | — |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Claude Opus 4.8 leads
Claude Opus 4.8: 78.2 (#11), Qwen-14B: 28.7 (#224)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Math | 1487 | 1068 |
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 69% | — |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Claude Opus 4.8: 61.3 (#26), Qwen-14B: —
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 53% | — |
| LMArena Expert | 1501 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Claude Opus 4.8: 43.2 (#20), Qwen-14B: —
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Vision | 1295 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
Multilingual Claude Opus 4.8 leads
Claude Opus 4.8: 55.4 (#31), Qwen-14B: 27.7 (#270)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1450 | 1042 |
| LMArena Chinese | 1509 | 1077 |
| LMArena French | 1482 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1440 | — |
| LMArena Korean | 1432 | — |
| LMArena Russian | 1476 | — |
| LMArena Spanish | 1470 | — |
Instruction Following Claude Opus 4.8 leads
Claude Opus 4.8: 77.6 (#22), Qwen-14B: 52.6 (#284)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1476 | 1031 |
Long Context Claude Opus 4.8 leads
Claude Opus 4.8: 45.4 (#37), Qwen-14B: 31.3 (#276)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1482 | 1029 |
Writing & Preference Claude Opus 4.8 leads
Claude Opus 4.8: 72.1 (#17), Qwen-14B: 27.8 (#294)
| Benchmark | Claude Opus 4.8 | Qwen-14B |
|---|---|---|
| LMArena Text | 1460 | 1051 |
| LMArena Creative Writing | 1453 | 1028 |
| LMArena Multi-Turn | 1476 | 1022 |
| EQ-Bench Creative Writing | 1840 | — |
| EQ-Bench 4 | 1281 | — |
Frequently asked questions
Is Claude Opus 4.8 better than Qwen-14B?
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 30.8 on the Noometry Index.
Is Claude Opus 4.8 or Qwen-14B better for coding?
Claude Opus 4.8 scores higher on coding benchmarks: 60.2 versus 30.6 in the Noometry coding category.
How many benchmarks do Claude Opus 4.8 and Qwen-14B share?
11 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Qwen-14B has 18.