Noometry

Model comparison

GPT-6.1 Sol vs o3-pro

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 42.9 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

o3-pro OpenAI

42.9

Rank #105 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-6.1 Sol scores higher in 4 categories and o3-pro in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 23.8.
  • The biggest single-benchmark swing is ARC-AGI-2: 94.2% for GPT-6.1 Sol and 4.9% for o3-pro.
  • GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $20 / $80 for o3-pro.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.

Side by side

GPT-6.1 Solo3-pro
ProviderOpenAIOpenAI
Noometry Index65.642.9
Released2026-09-292025-06-10
WeightsProprietaryProprietary
Context window1.05M200K
Max output128K100K
Input $ / M tokens$2$20
Output $ / M tokens$10$80
Results tracked3412

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), o3-pro: 55.5 (#24)

BenchmarkGPT-6.1 Solo3-pro
DeepSWE75.2%—
FrontierCode50.2%—
Aider Polyglot—84.9%
LMArena WebDev1755—
SciCode55.8%—
WeirdML—58.2%
LMArena Coding1487—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), o3-pro: —

BenchmarkGPT-6.1 Solo3-pro
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), o3-pro: 23.8 (#171)

BenchmarkGPT-6.1 Solo3-pro
ARC-AGI-294.2%4.9%
ARC-AGI-198.5%59.3%
Epoch Capabilities Index166.09147.42
Kagi LLM Benchmark—72.1%
NYT Connections (extended)95.5%—
CritPt31.7%—
Chess Puzzles61%—
EBR-Bench54.3%—
LMArena Hard Prompts1466—
Mystery Game Puzzles80%—
DTBench—86.9%
LMCA—38.5%

Math Not comparable

GPT-6.1 Sol: 93.7 (#1), o3-pro: —

BenchmarkGPT-6.1 Solo3-pro
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
LMArena Math1464—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), o3-pro: 29.5 (#238)

BenchmarkGPT-6.1 Solo3-pro
GPQA Diamond95.4%—
SimpleQA Verified73.9%—
Confabulations—14.2%
Vectara Hallucination Rate—23.3%
LMArena Expert1502—

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), o3-pro: —

BenchmarkGPT-6.1 Solo3-pro
LMArena Vision1288—
Furniture Assembly80%—

Multilingual Not comparable

GPT-6.1 Sol: 54.3 (#46), o3-pro: —

BenchmarkGPT-6.1 Solo3-pro
LMArena Non-English1438—
LMArena Chinese1477—
LMArena Russian1455—

Instruction Following Not comparable

GPT-6.1 Sol: 77.0 (#29), o3-pro: —

BenchmarkGPT-6.1 Solo3-pro
LMArena Instruction Following1468—

Long Context o3-pro leads

GPT-6.1 Sol: 44.9 (#54), o3-pro: 72.2 (#1)

BenchmarkGPT-6.1 Solo3-pro
Fiction.LiveBench—97.2%
LMArena Longer Query1465—

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), o3-pro: 57.1 (#133)

BenchmarkGPT-6.1 Solo3-pro
LMArena Text1447—
LMArena Creative Writing1432—
Short-Story Creative Writing—84.4%
LMArena Multi-Turn1449—

Frequently asked questions

Is GPT-6.1 Sol better than o3-pro?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 42.9 on the Noometry Index.

Which is cheaper, GPT-6.1 Sol or o3-pro?

GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; o3-pro lists at $20 and $80.

Is GPT-6.1 Sol or o3-pro better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 55.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 200K.

How many benchmarks do GPT-6.1 Sol and o3-pro share?

3 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and o3-pro has 12.

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