Model comparison
Olmo 2 0325 32b Instruct vs Qwen3.5 27B
Qwen3.5 27B is the stronger model overall, scoring 41.4 to 32.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Olmo 2 0325 32b Instruct scores higher in 0 categories and Qwen3.5 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 27B leads 37.4 to 19.2.
Side by side
| Olmo 2 0325 32b Instruct | Qwen3.5 27B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 32.2 | 41.4 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $2.40 |
| Results tracked | 16 | 28 |
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Category by category
Coding Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 34.6 (#222), Qwen3.5 27B: 38.6 (#159)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Coding | 1210 | 1427 |
| LMArena WebDev | — | 1357 |
| WeirdML | — | 39.5% |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
Olmo 2 0325 32b Instruct: —, Qwen3.5 27B: —
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 22.6 (#174), Qwen3.5 27B: 26.6 (#116)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1208 | 1414 |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
Math Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 24.8 (#255), Qwen3.5 27B: 36.8 (#103)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1208 | 1428 |
| MathArena Final-Answer Competitions | — | 56.7% |
| Omni-MATH | 16.1% | — |
Knowledge Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 19.2 (#274), Qwen3.5 27B: 37.4 (#149)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| MMLU-Pro | 41.4% | — |
| Vectara Hallucination Rate | — | 12.1% |
| GPQA (HELM) | 28.7% | — |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
Olmo 2 0325 32b Instruct: —, Qwen3.5 27B: 38.7 (#56)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1240 |
Multilingual Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 35.0 (#243), Qwen3.5 27B: 51.0 (#112)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1160 | 1390 |
| LMArena Chinese | 1192 | 1478 |
| LMArena Russian | 1187 | 1389 |
| LMArena French | — | 1409 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1359 |
| LMArena Spanish | — | 1408 |
Instruction Following Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 61.8 (#238), Qwen3.5 27B: 73.7 (#114)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1186 | 1393 |
| IFEval | 78% | — |
Long Context Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 36.2 (#229), Qwen3.5 27B: 43.1 (#103)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1194 | 1413 |
Writing & Preference Qwen3.5 27B leads
Olmo 2 0325 32b Instruct: 42.3 (#231), Qwen3.5 27B: 59.5 (#106)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1218 | 1409 |
| LMArena Creative Writing | 1199 | 1362 |
| LMArena Multi-Turn | 1221 | 1410 |
| WildBench | 73.4% | — |
Frequently asked questions
Is Olmo 2 0325 32b Instruct better than Qwen3.5 27B?
Qwen3.5 27B is the stronger model overall, scoring 41.4 to 32.2 on the Noometry Index.
Is Olmo 2 0325 32b Instruct or Qwen3.5 27B better for coding?
Qwen3.5 27B scores higher on coding benchmarks: 38.6 versus 34.6 in the Noometry coding category.
How many benchmarks do Olmo 2 0325 32b Instruct and Qwen3.5 27B share?
11 benchmarks have published results for both models. Olmo 2 0325 32b Instruct has 16 scored results on Noometry and Qwen3.5 27B has 28.