Noometry

Model comparison

GPT-6.1 Sol vs Llama 3.1-405B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 30.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 18.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6.1 Sol and 9.7% for Llama 3.1-405B.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolLlama 3.1-405B
ProviderOpenAIMeta
Noometry Index65.630.7
Released2026-09-292024-07-23
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked3442

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Llama 3.1-405B: 33.1 (#262)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Coding14871291
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—
WeirdML—21.4%

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Llama 3.1-405B: 21.0 (#140)

BenchmarkGPT-6.1 SolLlama 3.1-405B
APEX-Agents60%—
TheAgentCompany—7.4%
Cybench—7.5%
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Llama 3.1-405B: 16.8 (#300)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Hard Prompts14661269
Epoch Capabilities Index166.09128.75
ARC-AGI-294.2%—
SimpleBench—23%
Kagi LLM Benchmark—45%
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles61%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
DTBench—61.4%
BIG-Bench Hard—82.9%
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Llama 3.1-405B: 18.4 (#290)

BenchmarkGPT-6.1 SolLlama 3.1-405B
OTIS Mock AIME 2024-2025100%9.7%
LMArena Math14641281
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
ProofBench99%—
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Llama 3.1-405B: 30.4 (#227)

BenchmarkGPT-6.1 SolLlama 3.1-405B
GPQA Diamond95.4%50.9%
LMArena Expert15021243
SimpleQA Verified73.9%—
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Llama 3.1-405B: —

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Llama 3.1-405B: 40.7 (#214)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Non-English14381248
LMArena Chinese14771242
LMArena Russian14551265
LMArena French—1279
LMArena German—1252
LMArena Japanese—1208
LMArena Korean—1184
LMArena Spanish—1260

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Llama 3.1-405B: 65.9 (#214)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Instruction Following14681259
IFEval—81.1%

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Llama 3.1-405B: 38.4 (#197)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Longer Query14651266

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Llama 3.1-405B: 38.9 (#251)

BenchmarkGPT-6.1 SolLlama 3.1-405B
LMArena Text14471284
LMArena Creative Writing14321262
LMArena Multi-Turn14491297
EQ-Bench Creative Writing—870
WildBench—78.3%

Frequently asked questions

Is GPT-6.1 Sol better than Llama 3.1-405B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 30.7 on the Noometry Index.

Is GPT-6.1 Sol or Llama 3.1-405B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 33.1 in the Noometry coding category.

How many benchmarks do GPT-6.1 Sol and Llama 3.1-405B share?

15 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Llama 3.1-405B has 42.

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