Model comparison
Claude 3.5 Sonnet vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 34.6 on the Noometry Index.
Last verified . 22 shared benchmarks.
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 38.8 to 19.2.
- The biggest single-benchmark swing is Omni-MATH: 27.6% for Claude 3.5 Sonnet and 46.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 34.6 | 43.0 |
| Released | 2024-06-20 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 60 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 39.0 (#165), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1342 | 1440 |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| BigCodeBench Instruct | 46.8% | — |
| LiveBench Coding | 67.1% | — |
| BigCodeBench Complete | 58.6% | — |
| CadEval | 48% | — |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.3 (#67), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 23.1 (#183), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1428 |
| SimpleBench | 41.4% | — |
| Kagi LLM Benchmark | — | 66.7% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| Epoch Capabilities Index | 133.55 | — |
| ForecastBench | 60.7 | — |
| LiveBench | 59% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 19.2 (#288), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | 27.6% | 46.7% |
| LMArena Math | 1307 | 1440 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| LiveBench Math | 52.3% | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 28.6 (#245), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | 77.7% | 78.6% |
| GPQA (HELM) | 56.5% | 63% |
| LMArena Expert | 1265 | 1417 |
| GPQA Diamond | 55.3% | — |
| Humanity's Last Exam | 4.1% | — |
| Confabulations | 19.9% | — |
| Vectara Hallucination Rate | — | 9.3% |
| MMLU | 87.3% | — |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 43.2 (#185), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1283 | 1407 |
| LMArena Chinese | 1272 | 1460 |
| LMArena French | 1305 | 1413 |
| LMArena German | 1297 | 1417 |
| LMArena Japanese | 1234 | 1395 |
| LMArena Korean | 1200 | 1364 |
| LMArena Russian | 1306 | 1404 |
| LMArena Spanish | 1290 | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 68.8 (#182), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | 85.5% | 81% |
| LMArena Instruction Following | 1297 | 1389 |
| LiveBench Instruction Following | 69.3% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1311 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Claude 3.5 Sonnet: 52.9 (#164), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Claude 3.5 Sonnet | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1298 | 1417 |
| LMArena Creative Writing | 1292 | 1334 |
| WildBench | 79.2% | 80.7% |
| LMArena Multi-Turn | 1326 | 1416 |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 34.6 on the Noometry Index.
Is Claude 3.5 Sonnet or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 39.0 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Qwen3-Next 80B-A3B Instruct share?
22 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.