Noometry

Model comparison

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.

Last verified . 2 shared benchmarks.

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Qwen3.8 27B Alibaba (Qwen)

46.0

Rank #68 Confirmed

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 $0.99 / $1.49 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.

Side by side

GPT-5.3 CodexQwen3.8 27B
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.846.0
Released2026-02-052026-08-14
WeightsProprietaryOpen
Context window400K262K
Max output128K33K
Input $ / M tokens$1.75$0.99
Output $ / M tokens$14$1.49
Results tracked831

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3.8 27B leads

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena WebDev14091593
SWE-bench Verified74.8%—
SciCode—46.6%
WeirdML79.3%—
LMArena Coding—1482
ALE-Bench1,655—

Agentic & Tool Use GPT-5.3 Codex leads

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
Terminal-Bench78.4%—
APEX-Agents—47.5%
METR Time Horizons74.5%—
Vending-Bench 25,940—

Reasoning Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
Epoch Capabilities Index156.77149.38
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 Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
ProofBench—16%
LMArena Math—1456

Knowledge Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena Expert—1482

Multimodal Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena Vision—1271

Multilingual Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 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 Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena Instruction Following—1439

Long Context Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena Longer Query—1450

Writing & Preference Not comparable

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

BenchmarkGPT-5.3 CodexQwen3.8 27B
LMArena Text—1441
LMArena Creative Writing—1384
EQ-Bench Creative Writing—1671
LMArena Multi-Turn—1441

Frequently asked questions

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 $0.99 per million input tokens and $1.49 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.

Related comparisons

Go deeper