Model comparison
Qwen2.5-VL 72B Instruct vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 29.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen2.5-VL 72B Instruct scores higher in 1 category and Qwen3 32B in 1 category; one gap is clear of the uncertainty.
- The widest gap is in agentic & tool use, where Qwen3 32B leads 32.6 to 18.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 36% for Qwen2.5-VL 72B Instruct and 54.9% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
Side by side
| Qwen2.5-VL 72B Instruct | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 29.9 | 39.2 |
| Released | 2024-09 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 16K |
| Input $ / M tokens | $2.80 | $0.70 |
| Output $ / M tokens | $8.40 | $2.80 |
| Results tracked | 6 | 26 |
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Category by category
Coding Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 37.7 (#190)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| LMArena Coding | — | 1358 |
Agentic & Tool Use Qwen3 32B leads
Qwen2.5-VL 72B Instruct: 18.6 (#144), Qwen3 32B: 32.6 (#62)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| OSWorld | 5% | — |
Reasoning Too close to call
Qwen2.5-VL 72B Instruct: 20.7 (#233), Qwen3 32B: 20.2 (#241)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 36% | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | — | 1334 |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 39.7 (#99)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| LMArena Math | — | 1399 |
Knowledge Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 40.0 (#125)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| LMArena Expert | — | 1362 |
Multimodal Not comparable
Qwen2.5-VL 72B Instruct: 33.5 (#97), Qwen3 32B: —
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1107 | — |
| Video-MME | 73.5% | — |
| GeoBench | 62% | — |
| SpatialViz-Bench | 33.3% | — |
Multilingual Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 45.6 (#167)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| LMArena Non-English | — | 1317 |
| LMArena Chinese | — | 1357 |
| LMArena German | — | 1341 |
| LMArena Russian | — | 1311 |
Instruction Following Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 68.9 (#179)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | — | 1305 |
Long Context Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 43.8 (#87)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | — | 74.2% |
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3 32B: 52.9 (#163)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3 32B |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1297 |
| LMArena Multi-Turn | — | 1331 |
Frequently asked questions
Is Qwen2.5-VL 72B Instruct better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 29.9 on the Noometry Index.
Which is cheaper, Qwen2.5-VL 72B Instruct or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Qwen2.5-VL 72B Instruct and Qwen3 32B share?
1 benchmark has published results for both models. Qwen2.5-VL 72B Instruct has 6 scored results on Noometry and Qwen3 32B has 26.