Noometry

Model comparison

GPT-6.1 Sol vs Llama 3.3 Nemotron 49b Super v1

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.1 on the Noometry Index.

Last verified . 10 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Llama 3.3 Nemotron 49b Super v1 NVIDIA

40.1

Rank #154 Confirmed

Summary

  • They share 10 benchmarks with published results for both. GPT-6.1 Sol scores higher in 6 categories and Llama 3.3 Nemotron 49b Super v1 in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 26.2.
  • Llama 3.3 Nemotron 49b Super v1 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
ProviderOpenAINVIDIA
Noometry Index65.640.1
Released2026-09-29—
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked3410

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Llama 3.3 Nemotron 49b Super v1: 37.9 (#186)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Coding14871296
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Llama 3.3 Nemotron 49b Super v1: —

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Llama 3.3 Nemotron 49b Super v1: 26.2 (#135)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Hard Prompts14661311
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles61%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
Epoch Capabilities Index166.09—

Math Not comparable

GPT-6.1 Sol: 93.7 (#1), Llama 3.3 Nemotron 49b Super v1: —

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
LMArena Math1464—

Knowledge Not comparable

GPT-6.1 Sol: 71.8 (#4), Llama 3.3 Nemotron 49b Super v1: —

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
GPQA Diamond95.4%—
SimpleQA Verified73.9%—
LMArena Expert1502—

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Llama 3.3 Nemotron 49b Super v1: —

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Llama 3.3 Nemotron 49b Super v1: 41.1 (#211)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Non-English14381253
LMArena Chinese14771277
LMArena Russian14551269

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Llama 3.3 Nemotron 49b Super v1: 68.3 (#189)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Instruction Following14681293

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Llama 3.3 Nemotron 49b Super v1: 39.5 (#176)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Longer Query14651299

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Llama 3.3 Nemotron 49b Super v1: 50.8 (#179)

BenchmarkGPT-6.1 SolLlama 3.3 Nemotron 49b Super v1
LMArena Text14471308
LMArena Creative Writing14321288
LMArena Multi-Turn14491315

Frequently asked questions

Is GPT-6.1 Sol better than Llama 3.3 Nemotron 49b Super v1?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.1 on the Noometry Index.

Is GPT-6.1 Sol or Llama 3.3 Nemotron 49b Super v1 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 37.9 in the Noometry coding category.

How many benchmarks do GPT-6.1 Sol and Llama 3.3 Nemotron 49b Super v1 share?

10 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Llama 3.3 Nemotron 49b Super v1 has 10.

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