Model comparison
Qwen3-1.7B vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 38.8 to 26.2 on the Noometry Index.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Qwen3-1.7B scores higher in 0 categories and Qwen3 32B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 32B leads 37.9 to 15.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.1% for Qwen3-1.7B and 66.9% for Qwen3 32B.
Side by side
| Qwen3-1.7B | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 26.2 | 38.8 |
| Released | 2025-04-29 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 4 | 26 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Qwen3-1.7B: —, Qwen3 32B: 37.3 (#184)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| LMArena Coding | — | 1358 |
Agentic & Tool Use Qwen3 32B leads
Qwen3-1.7B: 24.5 (#108), Qwen3 32B: 32.3 (#58)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.4% | 48.7% |
Reasoning Qwen3 32B leads
Qwen3-1.7B: 18.5 (#263), Qwen3 32B: 19.6 (#233)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| Chess Puzzles | 0% | 5% |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | — | 1335 |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
Qwen3-1.7B: 15.4 (#288), Qwen3 32B: 37.9 (#89)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.1% | 66.9% |
| LMArena Math | — | 1399 |
Knowledge Qwen3 32B leads
Qwen3-1.7B: 19.6 (#273), Qwen3 32B: 40.0 (#112)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 38% | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| LMArena Expert | — | 1362 |
Multilingual Not comparable
Qwen3-1.7B: —, Qwen3 32B: 45.8 (#162)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| LMArena Non-English | — | 1317 |
| LMArena Chinese | — | 1357 |
| LMArena German | — | 1341 |
| LMArena Russian | — | 1311 |
Instruction Following Not comparable
Qwen3-1.7B: —, Qwen3 32B: 69.1 (#174)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | — | 1305 |
Long Context Not comparable
Qwen3-1.7B: —, Qwen3 32B: 43.7 (#83)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | — | 74.2% |
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
Qwen3-1.7B: —, Qwen3 32B: 53.1 (#158)
| Benchmark | Qwen3-1.7B | Qwen3 32B |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1297 |
| LMArena Multi-Turn | — | 1331 |
Frequently asked questions
Is Qwen3-1.7B better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 38.8 to 26.2 on the Noometry Index.
How many benchmarks do Qwen3-1.7B and Qwen3 32B share?
4 benchmarks have published results for both models. Qwen3-1.7B has 4 scored results on Noometry and Qwen3 32B has 26.