Noometry

Model comparison

GPT-6.1 Sol vs Llama 2-13B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.6 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 12.8.
  • The biggest single-benchmark swing is Chess Puzzles: 61% for GPT-6.1 Sol and 0% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolLlama 2-13B
ProviderOpenAIMeta
Noometry Index65.629.6
Released2026-09-292023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked3432

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Llama 2-13B: 30.9 (#291)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Coding14871062
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Llama 2-13B: —

BenchmarkGPT-6.1 SolLlama 2-13B
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Llama 2-13B: 12.8 (#337)

BenchmarkGPT-6.1 SolLlama 2-13B
Chess Puzzles61%0%
LMArena Hard Prompts14661051
Epoch Capabilities Index166.09106.17
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
DTBench—42.2%
BIG-Bench Hard—58.2%
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Llama 2-13B: 31.1 (#229)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Math14641065
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
GSM8K—36.9%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Llama 2-13B: 28.1 (#249)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Expert15021030
GPQA Diamond95.4%—
SimpleQA Verified73.9%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Llama 2-13B: —

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Vision1288—
Furniture Assembly80%—
ScienceQA—55.8%

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Llama 2-13B: 26.5 (#279)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Non-English14381024
LMArena Chinese14771001
LMArena Russian14551055
LMArena French—1044
LMArena German—1009
LMArena Japanese—894
LMArena Korean—953
LMArena Spanish—1087

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Llama 2-13B: 53.3 (#287)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Instruction Following14681045

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Llama 2-13B: 32.3 (#269)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Longer Query14651064

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Llama 2-13B: 29.8 (#289)

BenchmarkGPT-6.1 SolLlama 2-13B
LMArena Text14471084
LMArena Creative Writing14321047
LMArena Multi-Turn14491050

Frequently asked questions

Is GPT-6.1 Sol better than Llama 2-13B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.6 on the Noometry Index.

Is GPT-6.1 Sol or Llama 2-13B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 30.9 in the Noometry coding category.

How many benchmarks do GPT-6.1 Sol and Llama 2-13B share?

14 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Llama 2-13B has 32.

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