Model comparison

GPT-5.4 mini vs Qwen3.5-Flash

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 42.3 on the Noometry Index. Qwen3.5-Flash costs 9.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

GPT-5.4 mini OpenAI

44.8

Rank #69 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.3

Rank #105 Confirmed

Summary

  • They share 31 benchmarks with published results for both. GPT-5.4 mini scores higher in 7 categories and Qwen3.5-Flash in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-5.4 mini leads 45.0 to 33.9.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 51.2% for GPT-5.4 mini and 18.2% for Qwen3.5-Flash.
  • Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
  • Qwen3.5-Flash accepts more context: 1M tokens versus 400K.

Side by side

GPT-5.4 mini and Qwen3.5-Flash specifications
GPT-5.4 miniQwen3.5-Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index44.842.3
Released2026-03-172026-02-23
WeightsProprietaryProprietary
Context window400K1M
Max output128K66K
Input $ / M tokens$0.75$0.10
Output $ / M tokens$4.50$0.40
Results tracked4632

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

Category by category

Coding GPT-5.4 mini leads

GPT-5.4 mini: 45.0 (#67), Qwen3.5-Flash: 33.9 (#234)

Coding benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena WebDev13971243
LMArena Coding14381412
ALE-Bench1,189221.8
FrontierCode27%—
SciCode49.9%—
WeirdML60.3%—

Agentic & Tool Use Not comparable

GPT-5.4 mini: 29.6 (#74), Qwen3.5-Flash: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
DeepResearch Bench36.3%—
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

GPT-5.4 mini: 30.3 (#77), Qwen3.5-Flash: 32.9 (#63)

Reasoning benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
Chess Puzzles24%21%
LMArena Hard Prompts14241404
Mystery Game Puzzles11%20%
DTBench80%82.9%
LMCA40.8%29.1%
Epoch Capabilities Index148.83143.98
ARC-AGI-218.9%—
Kagi LLM Benchmark37.9%—
NYT Connections (extended)61.8%—
ARC-AGI-163.7%—
CritPt10%—
Thematic Generalization61.7%—
ForecastBench57—

Math GPT-5.4 mini leads

GPT-5.4 mini: 45.4 (#63), Qwen3.5-Flash: 36.3 (#117)

Math benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
FrontierMath (Tiers 1-3)51.2%18.2%
OTIS Mock AIME 2024-202588.9%84.4%
LMArena Math14181407
FrontierMath (Feb 2025 set)28.3%6.2%
FrontierMath Tier 4 (v1)2.1%0%
FrontierMath Tier 49.8%—
ProofBench21%—

Knowledge GPT-5.4 mini leads

GPT-5.4 mini: 51.4 (#62), Qwen3.5-Flash: 43.2 (#84)

Knowledge benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
GPQA Diamond86.9%82.3%
SimpleQA Verified29.4%20.3%
Vectara Hallucination Rate5.5%10.5%
LMArena Expert14341408

Multimodal Not comparable

GPT-5.4 mini: 39.0 (#51), Qwen3.5-Flash: —

Multimodal benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena Vision1245—

Multilingual GPT-5.4 mini leads

GPT-5.4 mini: 52.1 (#94), Qwen3.5-Flash: 50.7 (#116)

Multilingual benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena Non-English14051385
LMArena Chinese14461446
LMArena French14401412
LMArena German14071389
LMArena Japanese13751369
LMArena Korean13691344
LMArena Russian14171379
LMArena Spanish14031399

Instruction Following GPT-5.4 mini leads

GPT-5.4 mini: 74.3 (#99), Qwen3.5-Flash: 72.8 (#133)

Instruction Following benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena Instruction Following14051374

Long Context Too close to call

GPT-5.4 mini: 42.9 (#107), Qwen3.5-Flash: 42.4 (#119)

Long Context benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena Longer Query14071392

Writing & Preference GPT-5.4 mini leads

GPT-5.4 mini: 64.2 (#56), Qwen3.5-Flash: 58.2 (#117)

Writing & Preference benchmarks
BenchmarkGPT-5.4 miniQwen3.5-Flash
LMArena Text14111397
LMArena Creative Writing13701343
LMArena Multi-Turn14291393
EQ-Bench Creative Writing1665—

Frequently asked questions

Is GPT-5.4 mini better than Qwen3.5-Flash?

GPT-5.4 mini is the stronger model overall, scoring 44.8 to 42.3 on the Noometry Index. Qwen3.5-Flash costs 9.6× less per token, which makes it the better buy when GPT-5.4 mini's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 mini or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.

Is GPT-5.4 mini or Qwen3.5-Flash better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.0 versus 33.9 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 400K.

How many benchmarks do GPT-5.4 mini and Qwen3.5-Flash share?

31 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen3.5-Flash has 32.

Related comparisons

Go deeper