Model Comparison

GPT OSS 120B High vs GPT OSS 20B High

Both models are evenly matched across the benchmarks. GPT OSS 120B High and GPT OSS 20B High cost the same.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 120B High outperforms in 1 benchmarks (GPQA), while GPT OSS 20B High is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, GPT OSS 120B High ($0.10/1M tokens) costs the same as GPT OSS 20B High ($0.10/1M tokens).

For output processing, GPT OSS 120B High ($0.50/1M tokens) costs the same as GPT OSS 20B High ($0.50/1M tokens).

In conclusion, GPT OSS 120B High and GPT OSS 20B High cost the same.*

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

Lowest available price from all providers
Fri May 08 2026 • llm-stats.com
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
OpenAI
GPT OSS 20B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

95.9B diff

GPT OSS 120B High has 95.9B more parameters than GPT OSS 20B High, making it 458.9% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
OpenAI
GPT OSS 20B High
20.9Bparameters
116.8B
GPT OSS 120B High
20.9B
GPT OSS 20B High

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
OpenAI
GPT OSS 20B High
Input131,072 tokens
Output131,072 tokens
Fri May 08 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 120B High

Apache 2.0

Open weights

GPT OSS 20B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-08-05.

They likely represent similar generations of model development.

GPT OSS 120B High

Aug 5, 2025

9 months ago

GPT OSS 20B High

Aug 5, 2025

9 months 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 High is available from OpenAI, Fireworks. GPT OSS 20B High is available from OpenAI.

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

GPT OSS 20B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher GPQA score (80.9% vs 74.2%)
Higher AIME 2025 score (98.7% vs 92.5%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B High
OpenAI
GPT OSS 20B High

FAQ

Common questions about GPT OSS 120B High vs GPT OSS 20B High.

Which is better, GPT OSS 120B High or GPT OSS 20B High?

Both models are evenly matched across the benchmarks. GPT OSS 120B High is made by OpenAI and GPT OSS 20B High is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B High compare to GPT OSS 20B High 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%. GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%.

Is GPT OSS 120B High cheaper than GPT OSS 20B High?

Both models cost $0.10 per million input tokens.

What are the context window sizes for GPT OSS 120B High and GPT OSS 20B High?

GPT OSS 120B High supports 131K tokens and GPT OSS 20B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.