Model comparison
GPT-4.1 mini vs Qwen1.5 4b Chat
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 28.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-4.1 mini scores higher in 6 categories and Qwen1.5 4b Chat in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 mini leads 48.8 to 23.9.
- Qwen1.5 4b Chat has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 28.3 |
| Released | 2025-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $1.60 | — |
| Results tracked | 47 | 13 |
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Category by category
Coding GPT-4.1 mini leads
GPT-4.1 mini: 30.4 (#286), Qwen1.5 4b Chat: 28.6 (#305)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1367 | 999 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.0 (#52), Qwen1.5 4b Chat: —
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Qwen1.5 4b Chat leads
GPT-4.1 mini: 10.9 (#335), Qwen1.5 4b Chat: 17.7 (#277)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1349 | 976 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math Qwen1.5 4b Chat leads
GPT-4.1 mini: 23.1 (#264), Qwen1.5 4b Chat: 27.9 (#233)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1343 | 1026 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#183), Qwen1.5 4b Chat: 26.2 (#252)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1338 | 980 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), Qwen1.5 4b Chat: —
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.9 (#161), Qwen1.5 4b Chat: 24.2 (#285)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1318 | 979 |
| LMArena Chinese | 1329 | 1024 |
| LMArena German | 1349 | 902 |
| LMArena Russian | 1324 | 952 |
| LMArena French | 1357 | — |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1319 | — |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.9 (#113), Qwen1.5 4b Chat: 49.3 (#295)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1332 | 979 |
| IFEval | 90.4% | — |
Long Context GPT-4.1 mini leads
GPT-4.1 mini: 31.8 (#270), Qwen1.5 4b Chat: 30.1 (#285)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1344 | 988 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.8 (#193), Qwen1.5 4b Chat: 23.9 (#304)
| Benchmark | GPT-4.1 mini | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1341 | 997 |
| LMArena Creative Writing | 1300 | 969 |
| LMArena Multi-Turn | 1354 | 977 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Qwen1.5 4b Chat?
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 28.3 on the Noometry Index.
Is GPT-4.1 mini or Qwen1.5 4b Chat better for coding?
GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 28.6 in the Noometry coding category.
How many benchmarks do GPT-4.1 mini and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen1.5 4b Chat has 13.