Noometry

Model comparison

GPT-4.1 mini vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.0 to 33.5 on the Noometry Index. GPT-4.1 mini costs 4.3× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.0

Rank #21 Confirmed

Summary

  • They share 29 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Qwen3.8 Max in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.1 to 23.1.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 6.7% for GPT-4.1 mini and 74.7% for Qwen3.8 Max.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-4.1 miniQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.556.0
Released2025-04-142026-08-02
WeightsProprietaryProprietary
Context window1.05M1M
Max output33K131K
Input $ / M tokens$0.40$2
Output $ / M tokens$1.60$6
Results tracked4738

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Category by category

Coding Qwen3.8 Max leads

GPT-4.1 mini: 30.4 (#286), Qwen3.8 Max: 52.3 (#30)

BenchmarkGPT-4.1 miniQwen3.8 Max
SciCode40.4%52.9%
LMArena Coding13671499
DeepSWE—57.5%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1671
FrontierSWE—15.8%
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Qwen3.8 Max leads

GPT-4.1 mini: 33.0 (#52), Qwen3.8 Max: 42.6 (#17)

BenchmarkGPT-4.1 miniQwen3.8 Max
Berkeley Function Calling Leaderboard50.5%—
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

GPT-4.1 mini: 10.9 (#335), Qwen3.8 Max: 53.4 (#26)

BenchmarkGPT-4.1 miniQwen3.8 Max
CritPt0%20%
Chess Puzzles7%40%
LMArena Hard Prompts13491493
Mystery Game Puzzles7%38%
DTBench68.8%92%
LMCA21.1%46.2%
Epoch Capabilities Index135.01156.69
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—88.3%
ARC-AGI-13.5%—

Math Qwen3.8 Max leads

GPT-4.1 mini: 23.1 (#264), Qwen3.8 Max: 73.1 (#15)

BenchmarkGPT-4.1 miniQwen3.8 Max
FrontierMath (Tiers 1-3)6.7%74.7%
OTIS Mock AIME 2024-202544.7%100%
LMArena Math13431498
FrontierMath Tier 4—46.3%
ProofBench—58%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Qwen3.8 Max leads

GPT-4.1 mini: 34.7 (#183), Qwen3.8 Max: 61.7 (#25)

BenchmarkGPT-4.1 miniQwen3.8 Max
GPQA Diamond65.8%92.7%
SimpleQA Verified12.7%47.3%
LMArena Expert13381504
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Qwen3.8 Max leads

GPT-4.1 mini: 35.2 (#77), Qwen3.8 Max: 36.9 (#70)

BenchmarkGPT-4.1 miniQwen3.8 Max
LMArena Vision11811314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

GPT-4.1 mini: 45.9 (#161), Qwen3.8 Max: 56.6 (#18)

BenchmarkGPT-4.1 miniQwen3.8 Max
LMArena Non-English13181468
LMArena Chinese13291537
LMArena French13571502
LMArena German13491489
LMArena Japanese12911466
LMArena Korean12981467
LMArena Russian13241478
LMArena Spanish13191495

Instruction Following Qwen3.8 Max leads

GPT-4.1 mini: 73.9 (#113), Qwen3.8 Max: 77.7 (#19)

BenchmarkGPT-4.1 miniQwen3.8 Max
LMArena Instruction Following13321478
IFEval90.4%—

Long Context Qwen3.8 Max leads

GPT-4.1 mini: 31.8 (#270), Qwen3.8 Max: 45.5 (#30)

BenchmarkGPT-4.1 miniQwen3.8 Max
LMArena Longer Query13441486
Fiction.LiveBench44.4%—

Writing & Preference Qwen3.8 Max leads

GPT-4.1 mini: 48.8 (#193), Qwen3.8 Max: 67.0 (#31)

BenchmarkGPT-4.1 miniQwen3.8 Max
LMArena Text13411480
LMArena Creative Writing13001478
LMArena Multi-Turn13541487
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.0 to 33.5 on the Noometry Index. GPT-4.1 mini costs 4.3× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini or Qwen3.8 Max?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3.8 Max lists at $2 and $6.

Is GPT-4.1 mini or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 52.3 versus 30.4 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

How many benchmarks do GPT-4.1 mini and Qwen3.8 Max share?

29 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3.8 Max has 38.

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