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GPT-5.6 Luna vs Nemotron 3.5 Bolt (74B A9B 24GB)

GPT-5.6 Luna leads the LLM Stats Score 44.1 to 29.9.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.6 Luna leads the overall LLM Stats Score 44.1 to 29.9, ranking #50 overall.

In the 3 individual benchmarks reported for both models, GPT-5.6 Luna wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-5.6 Luna

  • overall performance matters — it scores 44.1 and ranks #50 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

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.

Core performance indexes
44.1
#50
29.9
#142
43.2
#51
29.2
#143
33.6
#38
14.8
#151
29.9
#48
12.4
#124
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.20 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.6 Luna
Nemotron 3.5 Bolt (74B A9B 24GB)
28.4#97
23.6#135
23.0#48
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Luna · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

3 shared

GPT-5.6 Luna outperforms in 3 benchmarks (BrowseComp, GPQA, Terminal-Bench 2.1), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Luna 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-5.6 Luna

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna 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-5.6 Luna

Proprietary

Closed source

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 3 months newer than GPT-5.6 Luna.

GPT-5.6 Luna

Jul 9, 2026

3 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

5 days ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a knowledge cutoff of 2026-02-16, 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-5.6 Luna (2026-02-16).

GPT-5.6 Luna

Feb 2026

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

3 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GPT-5.6 Luna vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GPT-5.6 Luna or Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.6 Luna leads the LLM Stats Score 44.1 to 29.9. GPT-5.6 Luna 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-5.6 Luna compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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-5.6 Luna and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.6 Luna 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-5.6 Luna and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (44.1 vs 29.9), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.6 Luna is developed by OpenAI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.