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GPT OSS 20B vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 17.7. GPT OSS 20B is 7.0x cheaper per token.

OpenAI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 17.7, ranking #108 overall.

In the 2 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GPT OSS 20B is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 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 OSS 20B

  • cost matters — it's about 7.0x cheaper per token

Choose Nemotron 3.5 Super VL (120B A12B)

  • overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT OSS 20B
OpenAI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
17.7
#239
35.0
#108
Reasoning
15.3
#246
36.2
#94
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.03 / M
$0.20 / M
Output price
$0.14 / M
$1.00 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT OSS 20B
Nemotron 3.5 Super VL (120B A12B)
Math
16.9#209
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 20B · 19 for Nemotron 3.5 Super VL (120B A12B)

2 shared

GPT OSS 20B outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, GPT OSS 20B ($0.03/1M tokens) is 6.7x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, GPT OSS 20B ($0.14/1M tokens) is 7.1x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.03
Output tokens$0.14
Best providerDeepinfra
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

99.1B diff

Nemotron 3.5 Super VL (120B A12B) has 99.1B more parameters than GPT OSS 20B, making it 474.2% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
20.9B
GPT OSS 20B
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to GPT OSS 20B's 131,072 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while GPT OSS 20B is limited to 131,072 tokens.

OpenAI
GPT OSS 20B
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas GPT OSS 20B does not.

Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 20B

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 20B is licensed under Apache 2.0, 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 OSS 20B

Apache 2.0

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 15 months newer than GPT OSS 20B.

GPT OSS 20B

Aug 5, 2025

1.2 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

1.2yr 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 OSS 20B is available from DeepInfra, Novita, Fireworks, Groq, OpenAI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

GPT OSS 20B

deepinfra logo
Deepinfra
Input Price:Input: $0.03/1MOutput Price:Output: $0.14/1M
novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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 OSS 20B and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

GPT OSS 20B
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about GPT OSS 20B vs Nemotron 3.5 Super VL (120B A12B).

Which is better, GPT OSS 20B or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 17.7. GPT OSS 20B 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 OSS 20B compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. 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 OSS 20B cheaper than Nemotron 3.5 Super VL (120B A12B)?

GPT OSS 20B is 6.7x cheaper for input tokens. GPT OSS 20B costs $0.03/M input and $0.14/M output via deepinfra. 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 OSS 20B and Nemotron 3.5 Super VL (120B A12B)?

GPT OSS 20B supports 131K 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 OSS 20B and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (17.7 vs 35.0), context window (131K vs 262K), input pricing ($0.03 vs $0.20/M), 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 20B and Nemotron 3.5 Super VL (120B A12B)?

GPT OSS 20B is developed by OpenAI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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