# o4-mini vs Qwen-14B

> o4-mini is the stronger model overall, scoring 41.6 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o4-mini-vs-qwen-14b
- Last updated: 2026-10-11
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. o4-mini scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o4-mini leads 54.0 to 27.6.
- Qwen-14B has downloadable open weights; the other is API-only.

## Snapshot

| | o4-mini | Qwen-14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 41.6 | 31.4 |
| Rank | 132 | 275 |
| Context | 200K | — |
| Input $/M | $1.10 | — |
| Output $/M | $4.40 | — |
| Weights | Proprietary | Open |

## Coding

- o4-mini: 40.9 (#127)
- Qwen-14B: 31.2 (#288)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Coding | 1368 | 1071 |
| SWE-bench Verified (bash only) | 45% | — |
| Aider Polyglot | 72% | — |
| GSO | 3.6% | — |
| WeirdML | 52.6% | — |
| CadEval | 62% | — |
| ALE-Bench | 826.17 | — |
| AlgoTune | 1.72 | — |

## Agentic & Tool Use

- o4-mini: 32.6 (#61)
- Qwen-14B: —

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 53.2% | — |
| GDPval | 25.3% | — |
| METR Time Horizons | 63.9% | — |

## Reasoning

- o4-mini: 24.6 (#162)
- Qwen-14B: 19.6 (#257)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1351 | 1027 |
| Epoch Capabilities Index | 145.64 | 113.03 |
| ARC-AGI-2 | 6.1% | — |
| SimpleBench | 38.7% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 58.7% | — |
| CritPt | 0.6% | — |
| Chess Puzzles | 26% | — |
| EnigmaEval | 9.2% | — |
| Mystery Game Puzzles | 5% | — |
| DTBench | 77.6% | — |
| LMCA | 26.5% | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 61.8 | — |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |

## Math

- o4-mini: 40.8 (#89)
- Qwen-14B: 31.2 (#227)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Math | 1389 | 1068 |
| FrontierMath (Tiers 1-3) | 36.1% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 81.7% | — |
| Omni-MATH | 72% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 24.8% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
| GSM8K | — | 61.3% |

## Knowledge

- o4-mini: 43.6 (#91)
- Qwen-14B: —

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| GPQA Diamond | 79.6% | — |
| Humanity's Last Exam | 18.1% | — |
| SimpleQA Verified | 19.6% | — |
| MMLU-Pro | 82% | — |
| Confabulations | 15.8% | — |
| Vectara Hallucination Rate | 18.6% | — |
| GPQA (HELM) | 73.5% | — |
| LMArena Expert | 1343 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |

## Multimodal

- o4-mini: 40.2 (#49)
- Qwen-14B: —

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Vision | 1194 | — |
| GeoBench | 64% | — |
| VPCT | 57.5% | — |

## Multilingual

- o4-mini: 47.0 (#154)
- Qwen-14B: 27.5 (#275)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1337 | 1041 |
| LMArena Chinese | 1354 | 1077 |
| LMArena French | 1364 | — |
| LMArena German | 1336 | — |
| LMArena Japanese | 1308 | — |
| LMArena Korean | 1312 | — |
| LMArena Russian | 1334 | — |
| LMArena Spanish | 1347 | — |

## Instruction Following

- o4-mini: 75.2 (#68)
- Qwen-14B: 52.4 (#289)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1321 | 1031 |
| IFEval | 92.8% | — |

## Long Context

- o4-mini: 45.5 (#33)
- Qwen-14B: 31.3 (#280)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1315 | 1028 |
| Fiction.LiveBench | 77.8% | — |

## Writing & Preference

- o4-mini: 54.0 (#152)
- Qwen-14B: 27.6 (#299)

| Benchmark | o4-mini | Qwen-14B |
|---|---|---|
| LMArena Text | 1353 | 1051 |
| LMArena Creative Writing | 1294 | 1028 |
| LMArena Multi-Turn | 1350 | 1022 |
| Short-Story Creative Writing | 75% | — |
| WildBench | 85.4% | — |

## FAQ

### Is o4-mini better than Qwen-14B?

o4-mini is the stronger model overall, scoring 41.6 to 31.4 on the Noometry Index.

### Is o4-mini or Qwen-14B better for coding?

o4-mini scores higher on coding benchmarks: 40.9 versus 31.2 in the Noometry coding category.

### How many benchmarks do o4-mini and Qwen-14B share?

11 benchmarks have published results for both models. o4-mini has 60 scored results on Noometry and Qwen-14B has 18.