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GPT-6.1 Sol vs Nemotron 3.5 Super VL (120B A12B)

GPT-6.1 Sol leads the LLM Stats Score 53.5 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 10.0x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.5 to 35.0, ranking #7 overall.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6.1 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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
  • you process long inputs — it offers a 1,050,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 10.0x cheaper per token
  • 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 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
53.5
#7
35.0
#108
Reasoning
51.5
#8
36.2
#94
Coding
38.4
#19
21.0
#108
Agents
37.9
#13
16.5
#99
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.20 / M
Output price
$10.00 / M
$1.00 / M
Context window
1,050,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-6.1 Sol
Nemotron 3.5 Super VL (120B A12B)
Math
34.9#47
28.1#101
Vision
35.8#11
20.3#86
Tool use
22.6#53
11.0#133
Multimodal
35.5#11
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

GPT-6.1 Sol and Nemotron 3.5 Super VL (120B A12B)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

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, GPT-6.1 Sol ($2.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, GPT-6.1 Sol ($10.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, GPT-6.1 Sol is more expensive than Nemotron 3.5 Super VL (120B A12B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
OpenAI
GPT-6.1 Sol
Input tokens$2.00
Output tokens$10.00
Best providerOpenAI
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6.1 Sol accepts 1,050,000 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while GPT-6.1 Sol is limited to 128,000 tokens.

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 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 Super VL (120B A12B) 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 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while Nemotron 3.5 Super VL (120B A12B) 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 Super VL (120B A12B)

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 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 1 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

2 weeks ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

2w newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Nemotron 3.5 Super VL (120B A12B)'s cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Nemotron 3.5 Super VL (120B A12B)'s cutoff date.

GPT-6.1 Sol

Apr 2026

Nemotron 3.5 Super VL (120B A12B)

—

Provider Availability

GPT-6.1 Sol is available from OpenAI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

GPT-6.1 Sol

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Nemotron 3.5 Super VL (120B A12B).

Which is better, GPT-6.1 Sol or Nemotron 3.5 Super VL (120B A12B)?

GPT-6.1 Sol leads the LLM Stats Score 53.5 to 35.0. GPT-6.1 Sol is made by OpenAI and Nemotron 3.5 Super VL (120B A12B) 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 Super VL (120B A12B) 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 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is GPT-6.1 Sol cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 10.0x cheaper for input tokens. GPT-6.1 Sol costs $2.00/M input and $10.00/M output via openai. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for GPT-6.1 Sol and Nemotron 3.5 Super VL (120B A12B)?

GPT-6.1 Sol supports 1.1M tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K 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 Super VL (120B A12B)?

Key differences include LLM Stats Score (53.5 vs 35.0), context window (1.1M vs 262K), input pricing ($2.00 vs $0.20/M), 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 Super VL (120B A12B)?

GPT-6.1 Sol is developed by OpenAI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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