Model comparison
Claude 3 Haiku vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 38.8 to 9.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 34.2% for Claude 3 Haiku and 66.7% 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 Haiku | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 25.9 | 43.0 |
| Released | 2024-03-07 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 37 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 26.4 (#325), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1199 | 1440 |
| WeirdML | 9.8% | — |
| BigCodeBench Instruct | 39.4% | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 16.3 (#307), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 34.2% | 66.7% |
| LMArena Hard Prompts | 1174 | 1428 |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| Epoch Capabilities Index | 118.35 | — |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 9.8 (#319), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1188 | 1440 |
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| Omni-MATH | — | 46.7% |
| MATH Level 5 | 14.9% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 17.3 (#285), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1148 | 1417 |
| GPQA Diamond | 36.3% | — |
| MMLU-Pro | — | 78.6% |
| Confabulations | 34.2% | — |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| MMLU | 73.8% | — |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 36.0 (#243), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1178 | 1407 |
| LMArena Chinese | 1155 | 1460 |
| LMArena French | 1195 | 1413 |
| LMArena German | 1174 | 1417 |
| LMArena Japanese | 1102 | 1395 |
| LMArena Korean | 1109 | 1364 |
| LMArena Russian | 1204 | 1404 |
| LMArena Spanish | 1166 | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 61.3 (#247), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1173 | 1389 |
| IFEval | — | 81% |
Long Context Too close to call
Claude 3 Haiku: 36.1 (#237), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1190 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Claude 3 Haiku: 29.7 (#291), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Claude 3 Haiku | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1195 | 1417 |
| LMArena Creative Writing | 1157 | 1334 |
| LMArena Multi-Turn | 1190 | 1416 |
| EQ-Bench Creative Writing | 717 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is Claude 3 Haiku better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3 Haiku and Qwen3-Next 80B-A3B Instruct share?
18 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.