Noometry

Model comparison

GPT-4.1 mini vs Qwen3-Coder 480B-A35B Instruct

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.6 on the Noometry Index. GPT-4.1 mini costs 4.3× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen3-Coder 480B-A35B Instruct Alibaba (Qwen)

38.1

Rank #190 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and Qwen3-Coder 480B-A35B Instruct in 7 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 10.8.
  • The biggest single-benchmark swing is SWE-bench Verified (bash only): 23.9% for GPT-4.1 mini and 55.4% for Qwen3-Coder 480B-A35B Instruct.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniQwen3-Coder 480B-A35B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.638.1
Released2025-04-142025-04
WeightsProprietaryOpen
Context window1.05M262K
Max output33K66K
Input $ / M tokens$0.40$1.50
Output $ / M tokens$1.60$7.50
Results tracked4725

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Category by category

Coding Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 30.6 (#293), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
SWE-bench Verified (bash only)23.9%55.4%
WeirdML37.6%41.2%
LMArena Coding13671412
Aider Polyglot32.4%—
LMArena WebDev—1275
SciCode40.4%—
GSO—4.9%
BigCodeBench Instruct48.9%—
CadEval16%—
ALE-Bench—461.45
AlgoTune—1.44

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
Terminal-Bench—27.2%
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 10.8 (#340), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark48.6%49.5%
LMArena Hard Prompts13491372
ARC-AGI-20%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 24.1 (#270), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Math13431365
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 34.7 (#194), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Expert13381338
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Vision1181—

Multilingual Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 45.7 (#166), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Non-English13181346
LMArena Chinese13291357
LMArena French13581398
LMArena German13511325
LMArena Japanese12901310
LMArena Korean12981305
LMArena Russian13241366
LMArena Spanish13191360

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Instruction Following13331355
IFEval90.4%—

Long Context Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 31.8 (#275), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Longer Query13441378
Fiction.LiveBench44.4%—

Writing & Preference Qwen3-Coder 480B-A35B Instruct leads

GPT-4.1 mini: 48.6 (#199), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

BenchmarkGPT-4.1 miniQwen3-Coder 480B-A35B Instruct
LMArena Text13401357
LMArena Creative Writing13001333
LMArena Multi-Turn13541365
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.6 on the Noometry Index. GPT-4.1 mini costs 4.3× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini or Qwen3-Coder 480B-A35B Instruct?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

Is GPT-4.1 mini or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 mini and Qwen3-Coder 480B-A35B Instruct share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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