Model comparison
GPT-4.1 mini vs Qwen3 Coder Next
GPT-4.1 mini and Qwen3 Coder Next score almost the same on the Noometry Index (33.6 vs 34.3), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3 Coder Next leads 22.4 to 10.8.
- The biggest single-benchmark swing is SciCode: 40.4% for GPT-4.1 mini and 32.3% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 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 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 34.3 |
| Released | 2025-04-14 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.40 | $0.12 |
| Output $ / M tokens | $1.60 | $0.80 |
| Results tracked | 47 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
GPT-4.1 mini: 30.6 (#293), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| SciCode | 40.4% | 32.3% |
| WeirdML | 37.6% | 34.4% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Qwen3 Coder Next leads
GPT-4.1 mini: 10.8 (#340), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| CritPt | 0% | 0% |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math Not comparable
GPT-4.1 mini: 24.1 (#270), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Not comparable
GPT-4.1 mini: 34.7 (#194), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.7 (#166), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| 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 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |
Long Context Not comparable
GPT-4.1 mini: 31.8 (#275), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
GPT-4.1 mini: 48.6 (#199), Qwen3 Coder Next: —
| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| 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 Coder Next?
GPT-4.1 mini and Qwen3 Coder Next score almost the same on the Noometry Index (33.6 vs 34.3), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 mini or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Qwen3 Coder Next share?
3 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3 Coder Next has 3.