# GPT-4.1 vs Qwen3 14B

> GPT-4.1 and Qwen3 14B score almost the same on the Noometry Index (35.9 vs 35.5), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. GPT-4.1 scores higher in 2 categories and Qwen3 14B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 14B leads 38.6 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 66.4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 | Qwen3 14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 35.9 | 35.5 |
| Rank | 219 | 225 |
| Context | 1.05M | 131K |
| Input $/M | $2 | $0.35 |
| Output $/M | $8 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1: 34.4 (#238)
- Qwen3 14B: 37.3 (#195)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| SciCode | — | 31.6% |
| WeirdML | 39% | — |
| LMArena Coding | 1391 | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |

## Agentic & Tool Use

- GPT-4.1: 34.7 (#43)
- Qwen3 14B: 29.6 (#83)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | 41% |

## Reasoning

- GPT-4.1: 11.7 (#339)
- Qwen3 14B: 18.5 (#280)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 49.1% |
| Chess Puzzles | 6% | 4% |
| DTBench | 68.3% | 64% |
| LMCA | 25.6% | 18.2% |
| Epoch Capabilities Index | 136.78 | 138.23 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| ARC-AGI-1 | 5.5% | — |
| CritPt | — | 0% |
| EnigmaEval | 2.2% | — |
| LMArena Hard Prompts | 1384 | — |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 22.3 (#280)
- Qwen3 14B: 38.6 (#133)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 38.3% | 66.4% |
| FrontierMath (Tiers 1-3) | 6% | — |
| Omni-MATH | 47.1% | — |
| LMArena Math | 1370 | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.1 (#160)
- Qwen3 14B: 39.3 (#134)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 66.9% | 63.8% |
| Vectara Hallucination Rate | 5.6% | 5.4% |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| GPQA (HELM) | 65.9% | — |
| LMArena Expert | 1364 | — |

## Multimodal

- GPT-4.1: 38.2 (#67)
- Qwen3 14B: —

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |

## Multilingual

- GPT-4.1: 49.4 (#133)
- Qwen3 14B: —

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1370 | — |
| LMArena Chinese | 1382 | — |
| LMArena French | 1382 | — |
| LMArena German | 1381 | — |
| LMArena Japanese | 1319 | — |
| LMArena Korean | 1339 | — |
| LMArena Russian | 1377 | — |
| LMArena Spanish | 1376 | — |

## Instruction Following

- GPT-4.1: 71.3 (#153)
- Qwen3 14B: —

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| IFEval | 83.8% | — |
| LMArena Instruction Following | 1367 | — |

## Long Context

- GPT-4.1: 40.0 (#163)
- Qwen3 14B: 38.1 (#204)

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | 63.9% | 62.5% |
| LMArena Longer Query | 1385 | — |

## Writing & Preference

- GPT-4.1: 57.6 (#125)
- Qwen3 14B: —

| Benchmark | GPT-4.1 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1383 | — |
| LMArena Creative Writing | 1363 | — |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1398 | — |

## FAQ

### Is GPT-4.1 better than Qwen3 14B?

GPT-4.1 and Qwen3 14B score almost the same on the Noometry Index (35.9 vs 35.5), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-4.1 or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is GPT-4.1 or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-4.1 and Qwen3 14B share?

10 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Qwen3 14B has 12.