# GPT-4.5 vs Qwen3.5-Flash

> Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 37.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-5-vs-qwen3-5-flash
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GPT-4.5 scores higher in 3 categories and Qwen3.5-Flash in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 13.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 84.4% for Qwen3.5-Flash.

## Snapshot

| | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 42.5 |
| Rank | 208 | 112 |
| Context | — | 1M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.40 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.5: 42.2 (#109)
- Qwen3.5-Flash: 34.2 (#242)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1396 | 1412 |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1244 |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 221.8 |

## Agentic & Tool Use

- GPT-4.5: 27.9 (#97)
- Qwen3.5-Flash: —

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| Cybench | 17.5% | — |
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- GPT-4.5: 13.9 (#330)
- Qwen3.5-Flash: 33.7 (#72)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1403 |
| Epoch Capabilities Index | 136.74 | 143.98 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 21% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 29.1% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |

## Math

- GPT-4.5: 32.6 (#211)
- Qwen3.5-Flash: 37.4 (#158)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 84.4% |
| LMArena Math | 1412 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- GPT-4.5: 32.5 (#211)
- Qwen3.5-Flash: 43.2 (#93)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 68.7% | 82.3% |
| LMArena Expert | 1394 | 1407 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 20.3% |
| Confabulations | 13.6% | — |
| Vectara Hallucination Rate | — | 10.5% |

## Multimodal

- GPT-4.5: 37.6 (#71)
- Qwen3.5-Flash: —

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |

## Multilingual

- GPT-4.5: 52.5 (#83)
- Qwen3.5-Flash: 50.5 (#121)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1413 | 1385 |
| LMArena Chinese | 1421 | 1446 |
| LMArena French | 1418 | 1412 |
| LMArena German | 1457 | 1390 |
| LMArena Japanese | 1416 | 1368 |
| LMArena Korean | 1392 | 1344 |
| LMArena Russian | 1419 | 1379 |
| LMArena Spanish | — | 1400 |

## Instruction Following

- GPT-4.5: 72.6 (#134)
- Qwen3.5-Flash: 72.6 (#139)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1404 | 1374 |
| LiveBench Instruction Following | 72.3% | — |

## Long Context

- GPT-4.5: 40.4 (#155)
- Qwen3.5-Flash: 42.4 (#124)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1406 | 1392 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.5: 56.9 (#134)
- Qwen3.5-Flash: 57.9 (#122)

| Benchmark | GPT-4.5 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1417 | 1397 |
| LMArena Creative Writing | 1394 | 1343 |
| LMArena Multi-Turn | 1444 | 1393 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |

## FAQ

### Is GPT-4.5 better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 37.2 on the Noometry Index.

### Is GPT-4.5 or Qwen3.5-Flash better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 34.2 in the Noometry coding category.

### How many benchmarks do GPT-4.5 and Qwen3.5-Flash share?

19 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.5-Flash has 32.