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GPT-5.3 Codex vs Nemotron 3.5 Bolt (74B A9B 24GB)

GPT-5.3 Codex leads the LLM Stats Score 36.3 to 29.6.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.3 Codex leads the overall LLM Stats Score 36.3 to 29.6, ranking #96 overall.

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

Choose GPT-5.3 Codex

  • overall performance matters — it scores 36.3 and ranks #96 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.

Core performance indexes
36.3
#96
29.6
#146
37.0
#87
28.9
#146
29.5
#63
14.4
#154
22.7
#76
11.9
#127
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000
—

Individual benchmarks

6 reported for GPT-5.3 Codex · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

No common benchmarks found

GPT-5.3 Codex 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-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.3 Codex 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-5.3 Codex

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Codex 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-5.3 Codex

Proprietary

Closed source

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 8 months newer than GPT-5.3 Codex.

GPT-5.3 Codex

Feb 5, 2026

8 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

1 weeks ago

8mo 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-5.3 Codex'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-5.3 Codex's cutoff date.

GPT-5.3 Codex

—

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-5.3 Codex and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GPT-5.3 Codex
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GPT-5.3 Codex vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GPT-5.3 Codex or Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.3 Codex leads the LLM Stats Score 36.3 to 29.6. GPT-5.3 Codex 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-5.3 Codex compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, LiveBench: 72.8%, OSWorld-Verified: 64.7%. 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-5.3 Codex and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.3 Codex supports 400K 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-5.3 Codex and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (36.3 vs 29.6), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Codex and Nemotron 3.5 Bolt (74B A9B 24GB)?

GPT-5.3 Codex is developed by OpenAI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.