Model comparison
Olmo 3 32b Think vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 38.7 on the Noometry Index.
Last verified . 14 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Olmo 3 32b Think 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 multilingual, where Qwen3-Next 80B-A3B Instruct leads 52.1 to 41.2.
Side by side
| Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 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 | 14 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 38.6 (#172), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1319 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 25.9 (#140), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1302 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
Math Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 36.5 (#165), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1316 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 35.0 (#190), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1273 | 1417 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 41.2 (#210), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1255 | 1407 |
| LMArena Chinese | 1300 | 1460 |
| LMArena French | 1291 | 1413 |
| LMArena German | 1290 | 1417 |
| LMArena Russian | 1254 | 1404 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 67.2 (#198), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1275 | 1389 |
| IFEval | — | 81% |
Long Context Olmo 3 32b Think leads
Olmo 3 32b Think: 39.4 (#182), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1296 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Olmo 3 32b Think: 49.1 (#193), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Olmo 3 32b Think | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1300 | 1417 |
| LMArena Creative Writing | 1256 | 1334 |
| LMArena Multi-Turn | 1290 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Olmo 3 32b Think better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 38.7 on the Noometry Index.
Is Olmo 3 32b Think or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 38.6 in the Noometry coding category.
How many benchmarks do Olmo 3 32b Think and Qwen3-Next 80B-A3B Instruct share?
14 benchmarks have published results for both models. Olmo 3 32b Think has 14 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.