# 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.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-qwen3-coder-next
- Last updated: 2026-10-10
- Shared benchmarks: 3

## 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.

## Snapshot

| | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 34.3 |
| Rank | 240 | 232 |
| Context | 1.05M | 262K |
| Input $/M | $0.40 | $0.12 |
| Output $/M | $1.60 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- 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

- 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

- 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

- 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

- 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

- GPT-4.1 mini: 35.8 (#82)
- Qwen3 Coder Next: —

| Benchmark | GPT-4.1 mini | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- 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

- 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

- 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

- 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 | — |

## FAQ

### 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.