Model comparison
Olmo 2 0325 32b Instruct vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 19.2.
Side by side
| Olmo 2 0325 32b Instruct | Qwen3.5-9B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 32.2 | 33.3 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 16 | 10 |
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Category by category
Coding Too close to call
Olmo 2 0325 32b Instruct: 34.6 (#222), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1210 | — |
Agentic & Tool Use Not comparable
Olmo 2 0325 32b Instruct: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Too close to call
Olmo 2 0325 32b Instruct: 22.6 (#174), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1208 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Qwen3.5-9B leads
Olmo 2 0325 32b Instruct: 24.8 (#255), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| Omni-MATH | 16.1% | — |
| LMArena Math | 1208 | — |
Knowledge Qwen3.5-9B leads
Olmo 2 0325 32b Instruct: 19.2 (#274), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| MMLU-Pro | 41.4% | — |
| GPQA (HELM) | 28.7% | — |
Multilingual Not comparable
Olmo 2 0325 32b Instruct: 35.0 (#243), Qwen3.5-9B: —
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1160 | — |
| LMArena Chinese | 1192 | — |
| LMArena Russian | 1187 | — |
Instruction Following Not comparable
Olmo 2 0325 32b Instruct: 61.8 (#238), Qwen3.5-9B: —
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| IFEval | 78% | — |
| LMArena Instruction Following | 1186 | — |
Long Context Not comparable
Olmo 2 0325 32b Instruct: 36.2 (#229), Qwen3.5-9B: —
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1194 | — |
Writing & Preference Not comparable
Olmo 2 0325 32b Instruct: 42.3 (#231), Qwen3.5-9B: —
| Benchmark | Olmo 2 0325 32b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1218 | — |
| LMArena Creative Writing | 1199 | — |
| WildBench | 73.4% | — |
| LMArena Multi-Turn | 1221 | — |
Frequently asked questions
Is Olmo 2 0325 32b Instruct better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 32.2 on the Noometry Index.
Is Olmo 2 0325 32b Instruct or Qwen3.5-9B better for coding?
They score almost the same on coding (34.6 vs 35.3); test both on your own repository before choosing.
How many benchmarks do Olmo 2 0325 32b Instruct and Qwen3.5-9B share?
0 benchmarks have published results for both models. Olmo 2 0325 32b Instruct has 16 scored results on Noometry and Qwen3.5-9B has 10.