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GPT OSS 120B High vs Nemotron 3.5 Bolt (74B A9B 24GB)

GPT OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched at 25.1 and 29.9 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the overall LLM Stats Score at 25.1 and 29.9.

In the 1 individual benchmarks reported for both models, Nemotron 3.5 Bolt (74B A9B 24GB) wins 1; 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 OSS 120B High

  • you want predictable pricing at $0.10/M input and $0.50/M output

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
25.1
#181
29.9
#142
25.4
#173
29.2
#143
3.0
#183
12.4
#124
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT OSS 120B High
Nemotron 3.5 Bolt (74B A9B 24GB)
24.1#129
23.6#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B High · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

1 shared

GPT OSS 120B High outperforms in 0 benchmarks, while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 1 benchmark (GPQA).

Nemotron 3.5 Bolt (74B A9B 24GB) significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

42.8B diff

GPT OSS 120B High has 42.8B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 57.8% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
116.8B
GPT OSS 120B High
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GPT OSS 120B High specifies input context (131,072 tokens). Only GPT OSS 120B High specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 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

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas GPT OSS 120B High does not.

Nemotron 3.5 Bolt (74B A9B 24GB) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 120B High

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 120B High is licensed under Apache 2.0, 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 OSS 120B High

Apache 2.0

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 15 months newer than GPT OSS 120B High.

GPT OSS 120B High

Aug 5, 2025

1.2 years ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

Nemotron 3.5 Bolt (74B A9B 24GB) has a documented knowledge cutoff of 2026-05-01, while GPT OSS 120B High's cutoff date is not specified.

We can confirm Nemotron 3.5 Bolt (74B A9B 24GB)'s training data extends to 2026-05-01, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.

GPT OSS 120B High

—

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GPT OSS 120B High
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GPT OSS 120B High vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GPT OSS 120B High or Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the LLM Stats Score at 25.1 and 29.9. GPT OSS 120B High 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 OSS 120B High compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%. 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 OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT OSS 120B High supports 131K 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 OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (25.1 vs 29.9), multimodal support (no vs yes), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B High and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT OSS 120B High is developed by OpenAI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.