Noometry

Model comparison

GPT-4.1 nano vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.9 on the Noometry Index. GPT-4.1 nano costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and GPT-6.1 Sol in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 8.5.
  • The biggest single-benchmark swing is ARC-AGI-1: 0% for GPT-4.1 nano and 98.5% for GPT-6.1 Sol.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-4.1 nanoGPT-6.1 Sol
ProviderOpenAIOpenAI
Noometry Index27.965.6
Released2025-04-142026-09-29
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output33K128K
Input $ / M tokens$0.10$2
Output $ / M tokens$0.40$10
Results tracked3834

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Category by category

Coding GPT-6.1 Sol leads

GPT-4.1 nano: 24.1 (#330), GPT-6.1 Sol: 63.2 (#8)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
SciCode25.9%55.8%
LMArena Coding13061487
DeepSWE—75.2%
FrontierCode—50.2%
Aider Polyglot8.9%—
LMArena WebDev—1755
WeirdML19%—

Agentic & Tool Use GPT-6.1 Sol leads

GPT-4.1 nano: 26.5 (#104), GPT-6.1 Sol: 39.6 (#26)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
APEX-Agents—60%
Berkeley Function Calling Leaderboard33%—
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

GPT-4.1 nano: 8.5 (#349), GPT-6.1 Sol: 81.9 (#2)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
ARC-AGI-20%94.2%
ARC-AGI-10%98.5%
CritPt0%31.7%
LMArena Hard Prompts12861466
Epoch Capabilities Index129.62166.09
Kagi LLM Benchmark33.3%—
NYT Connections (extended)—95.5%
Chess Puzzles—61%
EBR-Bench—54.3%
Mystery Game Puzzles—80%
DTBench52.5%—
LMCA5.5%—

Math GPT-6.1 Sol leads

GPT-4.1 nano: 26.9 (#252), GPT-6.1 Sol: 93.7 (#1)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
OTIS Mock AIME 2024-202528.9%100%
LMArena Math12741464
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
ProofBench—99%
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge GPT-6.1 Sol leads

GPT-4.1 nano: 21.8 (#273), GPT-6.1 Sol: 71.8 (#4)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
GPQA Diamond48.9%95.4%
SimpleQA Verified6%73.9%
LMArena Expert12721502
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal GPT-6.1 Sol leads

GPT-4.1 nano: 29.2 (#113), GPT-6.1 Sol: 52.7 (#5)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
LMArena Vision10631288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

GPT-4.1 nano: 41.6 (#205), GPT-6.1 Sol: 54.3 (#46)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
LMArena Non-English12601438
LMArena Chinese12701477
LMArena Russian12611455
LMArena German1288—
LMArena Japanese1198—

Instruction Following GPT-6.1 Sol leads

GPT-4.1 nano: 67.8 (#193), GPT-6.1 Sol: 77.0 (#29)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
LMArena Instruction Following12671468
IFEval84.3%—

Long Context GPT-6.1 Sol leads

GPT-4.1 nano: 23.7 (#296), GPT-6.1 Sol: 44.9 (#54)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
LMArena Longer Query12831465
Fiction.LiveBench25%—

Writing & Preference GPT-6.1 Sol leads

GPT-4.1 nano: 40.5 (#243), GPT-6.1 Sol: 63.6 (#63)

BenchmarkGPT-4.1 nanoGPT-6.1 Sol
LMArena Text12851447
LMArena Creative Writing12601432
LMArena Multi-Turn12771449
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.9 on the Noometry Index. GPT-4.1 nano costs 23× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or GPT-6.1 Sol?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-4.1 nano or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-4.1 nano and GPT-6.1 Sol share?

21 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and GPT-6.1 Sol has 34.

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