# GPT-5-Codex vs Qwen3.5 122B-A10B

> Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-qwen3-5-122b-a10b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 27.2.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 42.1 |
| Rank | 192 | 119 |
| Context | 400K | 262K |
| Input $/M | $1.25 | $0.40 |
| Output $/M | $10 | $3.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Qwen3.5 122B-A10B: 39.1 (#162)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1436 |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Qwen3.5 122B-A10B: —

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Qwen3.5 122B-A10B: 27.2 (#123)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| LMArena Hard Prompts | — | 1421 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |

## Math

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 39.1 (#112)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | — | 1432 |

## Knowledge

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 38.8 (#142)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1432 |

## Multimodal

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 39.6 (#57)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 51.6 (#107)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1424 |

## Instruction Following

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 73.8 (#115)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | — | 1399 |

## Long Context

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 43.0 (#109)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | — | 1410 |

## Writing & Preference

- GPT-5-Codex: —
- Qwen3.5 122B-A10B: 60.0 (#105)

| Benchmark | GPT-5-Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1368 |
| LMArena Multi-Turn | — | 1416 |

## FAQ

### Is GPT-5-Codex better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.

### Which is cheaper, GPT-5-Codex or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GPT-5-Codex or Qwen3.5 122B-A10B better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 39.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-5-Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5-Codex and Qwen3.5 122B-A10B share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.5 122B-A10B has 27.