Noometry

Model comparison

GPT-6.1 Sol vs Llama 2-7B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Llama 2-7B 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 15.7.
  • The biggest single-benchmark swing is Chess Puzzles: 61% for GPT-6.1 Sol and 0% for Llama 2-7B.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolLlama 2-7B
ProviderOpenAIMeta
Noometry Index65.629.1
Released2026-09-292023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked3429

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Llama 2-7B: 29.2 (#307)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Coding14871002
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Llama 2-7B: —

BenchmarkGPT-6.1 SolLlama 2-7B
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Llama 2-7B: 15.7 (#312)

BenchmarkGPT-6.1 SolLlama 2-7B
Chess Puzzles61%0%
LMArena Hard Prompts14661009
Epoch Capabilities Index166.0999.06
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
BIG-Bench Hard—39.2%
HellaSwag—77.2%
LAMBADA—73.3%
PIQA—78.8%
WinoGrande—69.2%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Llama 2-7B: 30.7 (#233)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Math14641042
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
GSM8K—16.7%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Llama 2-7B: 28.2 (#248)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Expert15021036
GPQA Diamond95.4%—
SimpleQA Verified73.9%—
ARC (AI2) Challenge—45.9%
BoolQ—77.9%
MMLU—45.8%
OpenBookQA—58.6%
TriviaQA—73.7%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Llama 2-7B: —

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Vision1288—
Furniture Assembly80%—
ScienceQA—43.1%

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Llama 2-7B: 23.8 (#293)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Non-English1438973
LMArena Chinese1477973
LMArena Russian1455995
LMArena French—970
LMArena German—978
LMArena Spanish—1007

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Llama 2-7B: 50.8 (#298)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Instruction Following14681006

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Llama 2-7B: 30.4 (#287)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Longer Query1465999

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Llama 2-7B: 28.0 (#298)

BenchmarkGPT-6.1 SolLlama 2-7B
LMArena Text14471053
LMArena Creative Writing14321033
LMArena Multi-Turn14491029

Frequently asked questions

Is GPT-6.1 Sol better than Llama 2-7B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.1 on the Noometry Index.

Is GPT-6.1 Sol or Llama 2-7B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 29.2 in the Noometry coding category.

How many benchmarks do GPT-6.1 Sol and Llama 2-7B share?

14 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Llama 2-7B has 29.

Related comparisons

Go deeper