Noometry

Model comparison

GPT-6.1 Sol vs Nemotron 3.5 Lightning

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 46× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Nemotron 3.5 Lightning NVIDIA

40.0

Rank #155 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Nemotron 3.5 Lightning in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 37.5.
  • Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
  • Nemotron 3.5 Lightning has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolNemotron 3.5 Lightning
ProviderOpenAINVIDIA
Noometry Index65.640.0
Released2026-09-292026-08-11
WeightsProprietaryOpen
Context window1.05M262K
Max output128K262K
Input $ / M tokens$2$0.05
Output $ / M tokens$10$0.20
Results tracked3418

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Nemotron 3.5 Lightning: 40.4 (#141)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Coding14871375
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Nemotron 3.5 Lightning: —

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Nemotron 3.5 Lightning: 26.8 (#127)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Hard Prompts14661337
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 GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Nemotron 3.5 Lightning: 37.5 (#155)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Math14641359
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Nemotron 3.5 Lightning: 37.5 (#154)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Expert15021356
GPQA Diamond95.4%—
SimpleQA Verified73.9%—

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Nemotron 3.5 Lightning: —

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Nemotron 3.5 Lightning: 44.0 (#180)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Non-English14381295
LMArena Chinese14771359
LMArena Russian14551253
LMArena French—1366
LMArena German—1282
LMArena Japanese—1206
LMArena Korean—1238
LMArena Spanish—1345

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Nemotron 3.5 Lightning: 69.6 (#170)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Instruction Following14681318

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Nemotron 3.5 Lightning: 39.9 (#165)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Longer Query14651314

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Nemotron 3.5 Lightning: 48.5 (#201)

BenchmarkGPT-6.1 SolNemotron 3.5 Lightning
LMArena Text14471327
LMArena Creative Writing14321254
LMArena Multi-Turn14491328
EQ-Bench Creative Writing—1280

Frequently asked questions

Is GPT-6.1 Sol better than Nemotron 3.5 Lightning?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 46× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Which is cheaper, GPT-6.1 Sol or Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Nemotron 3.5 Lightning better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 262K.

How many benchmarks do GPT-6.1 Sol and Nemotron 3.5 Lightning share?

12 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Nemotron 3.5 Lightning has 18.

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