Model comparison

GPT-5.4 Pro vs Qwen2.5 7B Instruct

GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 220× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

GPT-5.4 Pro OpenAI

58.9

Rank #18 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

29.0

Rank #320 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5.4 Pro scores higher in 4 categories and Qwen2.5 7B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.4 Pro leads 72.4 to 12.6.
  • The biggest single-benchmark swing is GPQA Diamond: 94.6% for GPT-5.4 Pro and 35.5% for Qwen2.5 7B Instruct.
  • Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $30 / $180 for GPT-5.4 Pro.
  • GPT-5.4 Pro accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 Pro and Qwen2.5 7B Instruct specifications
GPT-5.4 ProQwen2.5 7B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index58.929.0
Released2026-03-052024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output128K8K
Input $ / M tokens$30$0.17
Output $ / M tokens$180$0.70
Results tracked1615

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Category by category

Coding GPT-5.4 Pro leads

GPT-5.4 Pro: 43.2 (#90), Qwen2.5 7B Instruct: 36.5 (#208)

Coding benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
WeirdML57.4%—
BigCodeBench Instruct—37.6%
BigCodeBench Complete—46.1%

Agentic & Tool Use Not comparable

GPT-5.4 Pro: —, Qwen2.5 7B Instruct: 23.8 (#124)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
BALROG—7.8%

Reasoning GPT-5.4 Pro leads

GPT-5.4 Pro: 70.7 (#13), Qwen2.5 7B Instruct: 14.8 (#322)

Reasoning benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
Chess Puzzles58.6%0%
Epoch Capabilities Index158.93118.51
ARC-AGI-283.3%—
SimpleBench74.1%—
ARC-AGI-194.5%—
CritPt30%—
EnigmaEval23.8%—
DTBench—47.7%
LMCA—6.4%

Math GPT-5.4 Pro leads

GPT-5.4 Pro: 72.4 (#22), Qwen2.5 7B Instruct: 12.6 (#306)

Math benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
FrontierMath (Tiers 1-3)82.5%—
FrontierMath Tier 458.5%—
OTIS Mock AIME 2024-2025—2.5%
Omni-MATH—29.4%
FrontierMath (Feb 2025 set)50%—
FrontierMath Tier 4 (v1)37.5%—

Knowledge GPT-5.4 Pro leads

GPT-5.4 Pro: 68.3 (#7), Qwen2.5 7B Instruct: 17.0 (#286)

Knowledge benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
GPQA Diamond94.6%35.5%
Humanity's Last Exam44.3%—
SimpleQA Verified46.3%—
MMLU-Pro—53.9%
Vectara Hallucination Rate8.3%—
GPQA (HELM)—34.1%
MMLU—72.9%

Instruction Following Not comparable

GPT-5.4 Pro: —, Qwen2.5 7B Instruct: 63.2 (#231)

Instruction Following benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
IFEval—74.1%

Writing & Preference Not comparable

GPT-5.4 Pro: —, Qwen2.5 7B Instruct: 48.8 (#195)

Writing & Preference benchmarks
BenchmarkGPT-5.4 ProQwen2.5 7B Instruct
WildBench—73.1%

Frequently asked questions

Is GPT-5.4 Pro better than Qwen2.5 7B Instruct?

GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 220× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 Pro or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; GPT-5.4 Pro lists at $30 and $180.

Is GPT-5.4 Pro or Qwen2.5 7B Instruct better for coding?

GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 Pro does, with 1.05M tokens against 131K.

How many benchmarks do GPT-5.4 Pro and Qwen2.5 7B Instruct share?

3 benchmarks have published results for both models. GPT-5.4 Pro has 16 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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