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GPT-5.1 Codex High vs Nemotron 3.5 Super VL (120B A12B)

GPT-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B) are closely matched at 29.3 and 35.0 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 8.6x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 29.3 and 35.0.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.1 Codex High also accepts a larger context window (400,000 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-5.1 Codex High

  • you process long inputs — it offers a 400,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 8.6x 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-5.1 Codex High
OpenAI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
29.3
#152
35.0
#108
Reasoning
29.1
#144
36.2
#94
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
$0.20 / M
Output price
$10.00 / M
$1.00 / M
Context window
400,000
262,144

Individual benchmarks

1 reported for GPT-5.1 Codex High · 19 for Nemotron 3.5 Super VL (120B A12B)

No common benchmarks found

GPT-5.1 Codex High 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-5.1 Codex High ($1.25/1M tokens) is 6.3x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, GPT-5.1 Codex High ($10.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, GPT-5.1 Codex High 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-5.1 Codex High
Input tokens$1.25
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-5.1 Codex High accepts 400,000 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-5.1 Codex High is limited to 128,000 tokens.

OpenAI
GPT-5.1 Codex High
Input400,000 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-5.1 Codex High 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-5.1 Codex High

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex High 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-5.1 Codex High

Proprietary

Closed source

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex High was released on 2025-11-12, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 11 months newer than GPT-5.1 Codex High.

GPT-5.1 Codex High

Nov 12, 2025

11 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.1 Codex High is available from OpenAI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

GPT-5.1 Codex High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput 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-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

GPT-5.1 Codex High
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about GPT-5.1 Codex High vs Nemotron 3.5 Super VL (120B A12B).

Which is better, GPT-5.1 Codex High or Nemotron 3.5 Super VL (120B A12B)?

GPT-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 29.3 and 35.0. GPT-5.1 Codex High 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-5.1 Codex High compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

GPT-5.1 Codex High scores AIME 2025: 96.7%. 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-5.1 Codex High cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 6.3x cheaper for input tokens. GPT-5.1 Codex High costs $1.25/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-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B)?

GPT-5.1 Codex High supports 400K 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-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (29.3 vs 35.0), context window (400K vs 262K), input pricing ($1.25 vs $0.20/M), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex High and Nemotron 3.5 Super VL (120B A12B)?

GPT-5.1 Codex High is developed by OpenAI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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