Model Comparison

Gemini 3.1 Pro vs GPT OSS 120B High

Gemini 3.1 Pro significantly outperforms across most benchmarks. GPT OSS 120B High is 28.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3.1 Pro outperforms in 3 benchmarks (GPQA, MMMLU, t2-bench), while GPT OSS 120B High is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B High costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 30.0x more expensive than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GPT OSS 120B High.*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to GPT OSS 120B High's 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas GPT OSS 120B High does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

GPT OSS 120B High

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while GPT OSS 120B High uses Apache 2.0.

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

Gemini 3.1 Pro

Proprietary

Closed source

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GPT OSS 120B High was released on 2025-08-05.

Gemini 3.1 Pro is 7 months newer than GPT OSS 120B High.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

6mo newer
GPT OSS 120B High

Aug 5, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GPT OSS 120B High's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.

Gemini 3.1 Pro

Jan 2025

GPT OSS 120B High

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Provider Availability

Gemini 3.1 Pro is available from Google. GPT OSS 120B High is available from OpenAI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GPT OSS 120B High

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

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 80.9%)
Higher MMMLU score (92.6% vs 83.8%)
Higher t2-bench score (99.3% vs 63.9%)
OpenAI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
OpenAI
GPT OSS 120B High

FAQ

Common questions about Gemini 3.1 Pro vs GPT OSS 120B High

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and GPT OSS 120B High is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. 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 120B High is 25.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.
Gemini 3.1 Pro supports 1.0M tokens and GPT OSS 120B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 131K), input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and GPT OSS 120B High is developed by OpenAI.