Noometry

Model comparison

GPT-5.3 Chat vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 42.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 38.2.
  • Qwen3.8 Max is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen3.8 Max accepts more context: 1M tokens versus 128K.

Side by side

GPT-5.3 ChatQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.856.8
Released2026-03-032026-08-02
WeightsProprietaryProprietary
Context window128K1M
Max output16K131K
Input $ / M tokens$1.75$2
Output $ / M tokens$14$6
Results tracked1839

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Category by category

Coding Qwen3.8 Max leads

GPT-5.3 Chat: 41.4 (#124), Qwen3.8 Max: 53.5 (#29)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Coding14081502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen3.8 Max: 45.4 (#14)

BenchmarkGPT-5.3 ChatQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

GPT-5.3 Chat: 28.5 (#102), Qwen3.8 Max: 54.4 (#26)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Hard Prompts13991496
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Qwen3.8 Max leads

GPT-5.3 Chat: 38.2 (#142), Qwen3.8 Max: 73.2 (#20)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Math13891499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%

Knowledge Qwen3.8 Max leads

GPT-5.3 Chat: 38.8 (#140), Qwen3.8 Max: 61.7 (#27)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Expert13971507
GPQA Diamond—92.7%
SimpleQA Verified—47.3%

Multimodal Not comparable

GPT-5.3 Chat: —, Qwen3.8 Max: 37.2 (#75)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

GPT-5.3 Chat: 50.3 (#124), Qwen3.8 Max: 56.7 (#18)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Non-English13821472
LMArena Chinese14321538
LMArena French13971503
LMArena German13841483
LMArena Japanese13521467
LMArena Korean13461461
LMArena Russian14001481
LMArena Spanish13711492

Instruction Following Qwen3.8 Max leads

GPT-5.3 Chat: 72.8 (#129), Qwen3.8 Max: 77.6 (#17)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Instruction Following13781479

Long Context Qwen3.8 Max leads

GPT-5.3 Chat: 42.6 (#120), Qwen3.8 Max: 45.6 (#31)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Longer Query13961489

Writing & Preference Qwen3.8 Max leads

GPT-5.3 Chat: 63.1 (#68), Qwen3.8 Max: 67.1 (#30)

BenchmarkGPT-5.3 ChatQwen3.8 Max
LMArena Text13891483
LMArena Creative Writing13551479
LMArena Multi-Turn14121489
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Qwen3.8 Max?

Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen3.8 Max share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3.8 Max has 39.

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