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GPT-5.6 Sol vs Nemotron 3 Nano (30B A3B)

GPT-5.6 Sol leads the LLM Stats Score 55.0 to 21.0. Nemotron 3 Nano (30B A3B) is 128.6x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.6 Sol leads the overall LLM Stats Score 55.0 to 21.0, ranking #3 overall.

In the 1 individual benchmarks reported for both models, GPT-5.6 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3 Nano (30B A3B) is roughly 128.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 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-5.6 Sol

  • overall performance matters — it scores 55.0 and ranks #3 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Nemotron 3 Nano (30B A3B)

  • cost matters — it's about 128.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
55.0
#3
21.0
#189
54.1
#3
19.7
#194
46.0
#2
0.7
#237
41.5
#3
-6.7
#181
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$5.00 / M
$0.05 / M
Output price
$30.00 / M
$0.20 / M
Context window
1,050,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-5.6 Sol
Nemotron 3 Nano (30B A3B)
35.2#44
22.3#140
32.4#6
-1.9#182
16.5#111
14.0#130
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Sol · 15 for Nemotron 3 Nano (30B A3B)

1 shared

GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 100.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.05/1M tokens).

For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 150.0x more expensive than Nemotron 3 Nano (30B A3B) ($0.20/1M tokens).

In conclusion, GPT-5.6 Sol is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
OpenAI
GPT-5.6 Sol
Input tokens$5.00
Output tokens$30.00
Best providerOpenAI
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.05
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.6 Sol accepts 1,050,000 input tokens compared to Nemotron 3 Nano (30B A3B)'s 262,144 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Sol supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Sol

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

GPT-5.6 Sol

Proprietary

Closed source

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

GPT-5.6 Sol is 7 months newer than Nemotron 3 Nano (30B A3B).

GPT-5.6 Sol

Jul 9, 2026

2 months ago

6mo newer
Nemotron 3 Nano (30B A3B)

Dec 15, 2025

9 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a knowledge cutoff of 2026-02-16, while Nemotron 3 Nano (30B A3B) has a cutoff of 2025-11-28.

GPT-5.6 Sol has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Nemotron 3 Nano (30B A3B) (2025-11-28).

GPT-5.6 Sol

Feb 2026

3 mo newer
Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

GPT-5.6 Sol is available from OpenAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

GPT-5.6 Sol

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Nemotron 3 Nano (30B A3B) side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Nemotron 3 Nano (30B A3B)
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs Nemotron 3 Nano (30B A3B).

Which is better, GPT-5.6 Sol or Nemotron 3 Nano (30B A3B)?

GPT-5.6 Sol leads the LLM Stats Score 55.0 to 21.0. GPT-5.6 Sol is made by OpenAI and Nemotron 3 Nano (30B A3B) 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-5.6 Sol compare to Nemotron 3 Nano (30B A3B) in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is GPT-5.6 Sol cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 100.0x cheaper for input tokens. GPT-5.6 Sol costs $5.00/M input and $30.00/M output via openai. Nemotron 3 Nano (30B A3B) costs $0.05/M input and $0.20/M output via deepinfra.

What are the context window sizes for GPT-5.6 Sol and Nemotron 3 Nano (30B A3B)?

GPT-5.6 Sol supports 1.1M tokens and Nemotron 3 Nano (30B A3B) 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-5.6 Sol and Nemotron 3 Nano (30B A3B)?

Key differences include LLM Stats Score (55.0 vs 21.0), context window (1.1M vs 262K), input pricing ($5.00 vs $0.05/M), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Nemotron 3 Nano (30B A3B)?

GPT-5.6 Sol is developed by OpenAI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.