Model comparison
GPT-5.4 mini vs Qwen3 32B
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 39.2 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and Qwen3 32B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 mini leads 51.5 to 40.0.
- The biggest single-benchmark swing is LMCA: 40.8% for GPT-5.4 mini and 17.3% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- GPT-5.4 mini accepts more context: 400K tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Qwen3 32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.0 | 39.2 |
| Released | 2026-03-17 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.75 | $0.70 |
| Output $ / M tokens | $4.50 | $2.80 |
| Results tracked | 46 | 26 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Qwen3 32B: 37.7 (#190)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| SciCode | 49.9% | 35.4% |
| LMArena Coding | 1438 | 1358 |
| FrontierCode | 27% | — |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1397 | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Qwen3 32B leads
GPT-5.4 mini: 29.9 (#81), Qwen3 32B: 32.6 (#62)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Qwen3 32B: 20.2 (#241)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 37.9% | 54.9% |
| CritPt | 10% | 0.3% |
| Chess Puzzles | 24% | 5% |
| LMArena Hard Prompts | 1424 | 1334 |
| DTBench | 80% | 67.5% |
| LMCA | 40.8% | 17.3% |
| Epoch Capabilities Index | 148.84 | 138.51 |
| ARC-AGI-2 | 18.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| ForecastBench | 57 | — |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Qwen3 32B: 39.7 (#99)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 66.9% |
| LMArena Math | 1419 | 1399 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Qwen3 32B: 40.0 (#125)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 86.9% | 65.7% |
| Vectara Hallucination Rate | 5.5% | 5.9% |
| LMArena Expert | 1435 | 1362 |
| SimpleQA Verified | 29.4% | — |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Qwen3 32B: —
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), Qwen3 32B: 45.6 (#167)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1405 | 1317 |
| LMArena Chinese | 1446 | 1357 |
| LMArena German | 1409 | 1341 |
| LMArena Russian | 1417 | 1311 |
| LMArena French | 1440 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
| LMArena Spanish | 1405 | — |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), Qwen3 32B: 68.9 (#179)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1305 |
Long Context Too close to call
GPT-5.4 mini: 43.0 (#112), Qwen3 32B: 43.8 (#87)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1407 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Qwen3 32B: 52.9 (#163)
| Benchmark | GPT-5.4 mini | Qwen3 32B |
|---|---|---|
| LMArena Text | 1412 | 1340 |
| LMArena Creative Writing | 1370 | 1297 |
| LMArena Multi-Turn | 1429 | 1331 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than Qwen3 32B?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 39.2 on the Noometry Index.
Which is cheaper, GPT-5.4 mini or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.
Is GPT-5.4 mini or Qwen3 32B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 mini does, with 400K tokens against 131K.
How many benchmarks do GPT-5.4 mini and Qwen3 32B share?
23 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen3 32B has 26.