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GPT-6.1 Sol vs Nemotron 3.5 Bolt (74B A9B 24GB)

GPT-6.1 Sol leads the LLM Stats Score 53.5 to 29.9.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.5 to 29.9, ranking #7 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.5 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
53.5
#7
29.9
#142
Reasoning
51.5
#8
29.2
#143
Coding
38.4
#19
14.8
#151
Agents
37.9
#13
12.4
#124
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6.1 Sol
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
34.9#47
23.6#135
Tool use
22.6#52
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

No common benchmarks found

GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6.1 Sol

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while Nemotron 3.5 Bolt (74B A9B 24GB) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6.1 Sol

Proprietary

Closed source

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 1 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

2 weeks ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

2w newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a knowledge cutoff of 2026-04-30, while Nemotron 3.5 Bolt (74B A9B 24GB) has a cutoff of 2026-05-01.

Nemotron 3.5 Bolt (74B A9B 24GB) has more recent training data (up to 2026-05-01), making it potentially better informed about events through that date compared to GPT-6.1 Sol (2026-04-30).

GPT-6.1 Sol

Apr 2026

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

1 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GPT-6.1 Sol or Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-6.1 Sol leads the LLM Stats Score 53.5 to 29.9. GPT-6.1 Sol is made by OpenAI and Nemotron 3.5 Bolt (74B A9B 24GB) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Sol compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. Nemotron 3.5 Bolt (74B A9B 24GB) scores PinchBench: 87.8%, GPQA: 86.4%, BrowseComp: 66.8%, AA-LCR: 64.1%, MCP Atlas: 52.2%.

What are the context window sizes for GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-6.1 Sol supports 1.1M tokens and Nemotron 3.5 Bolt (74B A9B 24GB) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (53.5 vs 29.9), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-6.1 Sol is developed by OpenAI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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