# GPT-4 vs Qwen3.5-Flash

> Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-qwen3-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GPT-4 scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5-Flash leads 37.4 to 10.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for GPT-4 and 84.4% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $30 / $60 for GPT-4.
- Qwen3.5-Flash accepts more context: 1M tokens versus 8K.

## Snapshot

| | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 29.1 | 42.5 |
| Rank | 316 | 112 |
| Context | 8K | 1M |
| Input $/M | $30 | $0.10 |
| Output $/M | $60 | $0.40 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4: 31.6 (#283)
- Qwen3.5-Flash: 34.2 (#242)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1254 | 1412 |
| LMArena WebDev | — | 1244 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| ALE-Bench | — | 221.8 |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Qwen3.5-Flash: —

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| METR Time Horizons | 36.1% | — |
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- GPT-4: 17.8 (#289)
- Qwen3.5-Flash: 33.7 (#72)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 4% | 21% |
| LMArena Hard Prompts | 1241 | 1403 |
| Mystery Game Puzzles | 12% | 20% |
| DTBench | 62.7% | 82.9% |
| LMCA | 17.1% | 29.1% |
| Epoch Capabilities Index | 125.89 | 143.98 |
| BIG-Bench Hard | 75.1% | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- Qwen3.5-Flash: 37.4 (#158)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 84.4% |
| LMArena Math | 1269 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| MATH Level 5 | 23% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#282)
- Qwen3.5-Flash: 43.2 (#93)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 35.7% | 82.3% |
| LMArena Expert | 1211 | 1407 |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.6 (#215)
- Qwen3.5-Flash: 50.5 (#121)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1246 | 1385 |
| LMArena Chinese | 1242 | 1446 |
| LMArena French | 1283 | 1412 |
| LMArena German | 1251 | 1390 |
| LMArena Japanese | 1209 | 1368 |
| LMArena Korean | 1184 | 1344 |
| LMArena Russian | 1251 | 1379 |
| LMArena Spanish | 1261 | 1400 |

## Instruction Following

- GPT-4: 65.3 (#222)
- Qwen3.5-Flash: 72.6 (#139)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1241 | 1374 |

## Long Context

- GPT-4: 37.7 (#212)
- Qwen3.5-Flash: 42.4 (#124)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1244 | 1392 |

## Writing & Preference

- GPT-4: 34.9 (#268)
- Qwen3.5-Flash: 57.9 (#122)

| Benchmark | GPT-4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1263 | 1397 |
| LMArena Creative Writing | 1244 | 1343 |
| LMArena Multi-Turn | 1257 | 1393 |
| EQ-Bench Creative Writing | 752 | — |

## FAQ

### Is GPT-4 better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.1 on the Noometry Index.

### Which is cheaper, GPT-4 or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4 lists at $30 and $60.

### Is GPT-4 or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 31.6 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 8K.

### How many benchmarks do GPT-4 and Qwen3.5-Flash share?

24 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Qwen3.5-Flash has 32.