# GPT-5-Codex vs Qwen3.6 35B-A3B

> GPT-5-Codex and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.9 vs 37.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-qwen3-6-35b-a3b
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-5-Codex scores higher in 3 categories and Qwen3.6 35B-A3B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5-Codex leads 31.0 to 22.1.
- The biggest single-benchmark swing is Terminal-Bench: 44.3% for GPT-5-Codex and 23% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 37.6 |
| Rank | 192 | 201 |
| Context | 400K | 262K |
| Input $/M | $1.25 | $0.25 |
| Output $/M | $10 | $1.49 |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Qwen3.6 35B-A3B: 37.2 (#196)

| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| WeirdML | 54.5% | 34.5% |
| SciCode | — | 35.8% |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Qwen3.6 35B-A3B: 22.1 (#134)

| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | 44.3% | 23% |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Qwen3.6 35B-A3B: 28.0 (#109)

| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.93 |

## Math

- GPT-5-Codex: —
- Qwen3.6 35B-A3B: 38.9 (#121)

| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |

## Knowledge

- GPT-5-Codex: —
- Qwen3.6 35B-A3B: 51.3 (#68)

| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |

## FAQ

### Is GPT-5-Codex better than Qwen3.6 35B-A3B?

GPT-5-Codex and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.9 vs 37.6), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5-Codex or Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $1.49 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GPT-5-Codex or Qwen3.6 35B-A3B better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 37.2 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 Qwen3.6 35B-A3B share?

2 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.6 35B-A3B has 14.