# GPT-5.3 Codex vs Qwen3.8 27B

> GPT-5.3 Codex and Qwen3.8 27B score almost the same on the Noometry Index (45.8 vs 46.0), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-qwen3-8-27b
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen3.8 27B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 32.9.
- Qwen3.8 27B is cheaper at $0.04 / $2.30 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 262K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.8 | 46.0 |
| Rank | 69 | 68 |
| Context | 400K | 262K |
| Input $/M | $1.75 | $0.04 |
| Output $/M | $14 | $2.30 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.6 (#56)
- Qwen3.8 27B: 50.5 (#44)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | 1409 | 1593 |
| SWE-bench Verified | 74.8% | — |
| SciCode | — | 46.6% |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1482 |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 48.0 (#9)
- Qwen3.8 27B: 32.9 (#57)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| APEX-Agents | — | 47.5% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Qwen3.8 27B: 41.0 (#54)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMArena Hard Prompts | — | 1460 |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |

## Math

- GPT-5.3 Codex: —
- Qwen3.8 27B: 37.1 (#161)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |

## Knowledge

- GPT-5.3 Codex: —
- Qwen3.8 27B: 41.6 (#109)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | — | 1482 |

## Multimodal

- GPT-5.3 Codex: —
- Qwen3.8 27B: 41.3 (#37)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |

## Multilingual

- GPT-5.3 Codex: —
- Qwen3.8 27B: 53.7 (#60)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |

## Instruction Following

- GPT-5.3 Codex: —
- Qwen3.8 27B: 75.8 (#53)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |

## Long Context

- GPT-5.3 Codex: —
- Qwen3.8 27B: 44.3 (#70)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |

## Writing & Preference

- GPT-5.3 Codex: —
- Qwen3.8 27B: 65.8 (#43)

| Benchmark | GPT-5.3 Codex | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| LMArena Multi-Turn | — | 1441 |

## FAQ

### Is GPT-5.3 Codex better than Qwen3.8 27B?

GPT-5.3 Codex and Qwen3.8 27B score almost the same on the Noometry Index (45.8 vs 46.0), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5.3 Codex or Qwen3.8 27B?

Qwen3.8 27B is cheaper. It lists at $0.04 per million input tokens and $2.30 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Qwen3.8 27B better for coding?

Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 48.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.3 Codex and Qwen3.8 27B share?

2 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3.8 27B has 31.