Noometry

Model comparison

GPT-5.3 Chat vs Qwen2.5-VL 72B Instruct

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Qwen2.5-VL 72B Instruct Alibaba (Qwen)

29.9

Rank #302 Confirmed

Summary

  • The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 20.7.
  • Qwen2.5-VL 72B Instruct is cheaper at $2.80 / $8.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Qwen2.5-VL 72B Instruct accepts more context: 131K tokens versus 128K.
  • Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatQwen2.5-VL 72B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.829.9
Released2026-03-032024-09
WeightsProprietaryOpen
Context window128K131K
Max output16K8K
Input $ / M tokens$1.75$2.80
Output $ / M tokens$14$8.40
Results tracked186

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

Category by category

Coding Not comparable

GPT-5.3 Chat: 41.4 (#124), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Coding1408—

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
OSWorld—5%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Qwen2.5-VL 72B Instruct: 20.7 (#233)

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
Kagi LLM Benchmark—36%
LMArena Hard Prompts1399—

Math Not comparable

GPT-5.3 Chat: 38.2 (#142), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Math1389—

Knowledge Not comparable

GPT-5.3 Chat: 38.8 (#140), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Expert1397—

Multimodal Not comparable

GPT-5.3 Chat: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Vision—1107
Video-MME—73.5%
GeoBench—62%
SpatialViz-Bench—33.3%

Multilingual Not comparable

GPT-5.3 Chat: 50.3 (#124), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Non-English1382—
LMArena Chinese1432—
LMArena French1397—
LMArena German1384—
LMArena Japanese1352—
LMArena Korean1346—
LMArena Russian1400—
LMArena Spanish1371—

Instruction Following Not comparable

GPT-5.3 Chat: 72.8 (#129), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Instruction Following1378—

Long Context Not comparable

GPT-5.3 Chat: 42.6 (#120), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Longer Query1396—

Writing & Preference Not comparable

GPT-5.3 Chat: 63.1 (#68), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-5.3 ChatQwen2.5-VL 72B Instruct
LMArena Text1389—
LMArena Creative Writing1355—
EQ-Bench Creative Writing1690—
LMArena Multi-Turn1412—

Frequently asked questions

Is GPT-5.3 Chat better than Qwen2.5-VL 72B Instruct?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Qwen2.5-VL 72B Instruct?

Qwen2.5-VL 72B Instruct is cheaper. It lists at $2.80 per million input tokens and $8.40 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Which has the bigger context window?

Qwen2.5-VL 72B Instruct does, with 131K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Qwen2.5-VL 72B Instruct share?

0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

Related comparisons

Go deeper