Model comparison
Molmo 2 8b vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.
Last verified . 4 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Molmo 2 8b scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen3-Next 80B-A3B Instruct leads 52.1 to 42.7.
Side by side
| Molmo 2 8b | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 39.1 | 43.0 |
| Released | — | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 5 | 25 |
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Category by category
Coding Not comparable
Molmo 2 8b: —, Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | — | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Molmo 2 8b: 25.6 (#146), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1287 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Not comparable
Molmo 2 8b: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Not comparable
Molmo 2 8b: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multimodal Not comparable
Molmo 2 8b: 30.2 (#112), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1081 | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Molmo 2 8b: 42.7 (#190), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1276 | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Molmo 2 8b: 67.0 (#201), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1270 | 1389 |
| IFEval | — | 81% |
Long Context Not comparable
Molmo 2 8b: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Molmo 2 8b: 49.4 (#191), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Molmo 2 8b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1288 | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Molmo 2 8b better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.
How many benchmarks do Molmo 2 8b and Qwen3-Next 80B-A3B Instruct share?
4 benchmarks have published results for both models. Molmo 2 8b has 5 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.