Model Comparison

GPT OSS 120B vs Llama 4 Scout

GPT OSS 120B significantly outperforms across most benchmarks. Llama 4 Scout is 1.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Llama 4 Scout is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, GPT OSS 120B ($0.09/1M tokens) is 1.1x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 1.5x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, GPT OSS 120B is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers

Tue May 26 2026 • llm-stats.com

GPT OSS 120B

Input tokens$0.09

Output tokens$0.45

Best providerDeepinfra

Llama 4 Scout

Input tokens$0.08

Output tokens$0.30

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

7.8B diff

GPT OSS 120B has 7.8B more parameters than Llama 4 Scout, making it 7.2% larger.

GPT OSS 120B

116.8Bparameters

Llama 4 Scout

109.0Bparameters

116.8B

GPT OSS 120B

109.0B

Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to GPT OSS 120B's 131,072 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT OSS 120B is limited to 131,072 tokens.

GPT OSS 120B

Input131,072 tokens

Output131,072 tokens

Llama 4 Scout

Input10,000,000 tokens

Output10,000,000 tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas GPT OSS 120B does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 120B

Text

Images

Audio

Video

Llama 4 Scout

Text

Images

Audio

Video

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while Llama 4 Scout uses Llama 4 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

GPT OSS 120B

Apache 2.0

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Llama 4 Scout was released on 2025-04-05.

GPT OSS 120B is 4 months newer than Llama 4 Scout.

GPT OSS 120B

Aug 5, 2025

9 months ago

4mo newer

Llama 4 Scout

Apr 5, 2025

1.1 years ago

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 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

GPT OSS 120B

Deepinfra

Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Groq

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Llama 4 Scout

Deepinfra

Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M

Lambda

Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Groq

Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Together

Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GPT OSS 120B

View details

OpenAI

Higher GPQA score (80.1% vs 57.2%)

Higher MMLU score (90.0% vs 79.6%)

Llama 4 Scout

View details

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 120B	Llama 4 Scout

FAQ

Common questions about GPT OSS 120B vs Llama 4 Scout.

Which is better, GPT OSS 120B or Llama 4 Scout?

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to Llama 4 Scout in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is GPT OSS 120B cheaper than Llama 4 Scout?

Llama 4 Scout is 1.1x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for GPT OSS 120B and Llama 4 Scout?

GPT OSS 120B supports 131K tokens and Llama 4 Scout supports 10.0M 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 and Llama 4 Scout?

Key differences include context window (131K vs 10.0M), input pricing ($0.09 vs $0.08/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Llama 4 Scout?

GPT OSS 120B is developed by OpenAI and Llama 4 Scout is developed by Meta.