Model comparison
GPT-4.1 mini vs Qwen3 8B
GPT-4.1 mini and Qwen3 8B score almost the same on the Noometry Index (33.6 vs 33.7), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Qwen3 8B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 8B leads 34.9 to 24.1.
- The biggest single-benchmark swing is SciCode: 40.4% for GPT-4.1 mini and 22.6% for Qwen3 8B.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 131K.
- Qwen3 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Qwen3 8B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 33.7 |
| Released | 2025-04-14 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 33K | 8K |
| Input $ / M tokens | $0.40 | $0.18 |
| Output $ / M tokens | $1.60 | $0.70 |
| Results tracked | 47 | 11 |
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Category by category
Coding Qwen3 8B leads
GPT-4.1 mini: 30.6 (#293), Qwen3 8B: 34.0 (#248)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| SciCode | 40.4% | 22.6% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.3 (#55), Qwen3 8B: 30.2 (#78)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 42.6% |
Reasoning Qwen3 8B leads
GPT-4.1 mini: 10.8 (#340), Qwen3 8B: 16.6 (#303)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| CritPt | 0% | 0% |
| Chess Puzzles | 7% | 5% |
| DTBench | 68.8% | 59.7% |
| LMCA | 21.1% | 8.8% |
| Epoch Capabilities Index | 135.01 | 136.17 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
Math Qwen3 8B leads
GPT-4.1 mini: 24.1 (#270), Qwen3 8B: 34.9 (#191)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 56.1% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Qwen3 8B leads
GPT-4.1 mini: 34.7 (#194), Qwen3 8B: 36.1 (#173)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 65.8% | 56.8% |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Vectara Hallucination Rate | — | 4.8% |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Qwen3 8B: —
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.7 (#166), Qwen3 8B: —
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |
Instruction Following Not comparable
GPT-4.1 mini: 73.7 (#118), Qwen3 8B: —
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |
Long Context Qwen3 8B leads
GPT-4.1 mini: 31.8 (#275), Qwen3 8B: 37.9 (#210)
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 62.1% |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
GPT-4.1 mini: 48.6 (#199), Qwen3 8B: —
| Benchmark | GPT-4.1 mini | Qwen3 8B |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |
Frequently asked questions
Is GPT-4.1 mini better than Qwen3 8B?
GPT-4.1 mini and Qwen3 8B score almost the same on the Noometry Index (33.6 vs 33.7), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 mini or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Qwen3 8B better for coding?
Qwen3 8B scores higher on coding benchmarks: 34.0 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 131K.
How many benchmarks do GPT-4.1 mini and Qwen3 8B share?
10 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 8B has 11.