Model comparison
Olmo 3 32b Think vs Qwen1.5 4b Chat
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Olmo 3 32b Think scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3 32b Think leads 49.1 to 23.8.
Side by side
| Olmo 3 32b Think | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 28.8 |
| Released | — | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 13 |
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Category by category
Coding Olmo 3 32b Think leads
Olmo 3 32b Think: 38.6 (#172), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1319 | 999 |
Reasoning Olmo 3 32b Think leads
Olmo 3 32b Think: 25.9 (#140), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1302 | 976 |
Math Olmo 3 32b Think leads
Olmo 3 32b Think: 36.5 (#165), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1316 | 1026 |
Knowledge Olmo 3 32b Think leads
Olmo 3 32b Think: 35.0 (#190), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1273 | 980 |
Multilingual Olmo 3 32b Think leads
Olmo 3 32b Think: 41.2 (#210), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1255 | 979 |
| LMArena Chinese | 1300 | 1024 |
| LMArena German | 1290 | 902 |
| LMArena Russian | 1254 | 952 |
| LMArena French | 1291 | — |
Instruction Following Olmo 3 32b Think leads
Olmo 3 32b Think: 67.2 (#198), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1275 | 978 |
Long Context Olmo 3 32b Think leads
Olmo 3 32b Think: 39.4 (#182), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1296 | 988 |
Writing & Preference Olmo 3 32b Think leads
Olmo 3 32b Think: 49.1 (#193), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Olmo 3 32b Think | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1300 | 997 |
| LMArena Creative Writing | 1256 | 969 |
| LMArena Multi-Turn | 1290 | 977 |
Frequently asked questions
Is Olmo 3 32b Think better than Qwen1.5 4b Chat?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 28.8 on the Noometry Index.
Is Olmo 3 32b Think or Qwen1.5 4b Chat better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 29.1 in the Noometry coding category.
How many benchmarks do Olmo 3 32b Think and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Olmo 3 32b Think has 14 scored results on Noometry and Qwen1.5 4b Chat has 13.