Model Comparison

Gemini 2.5 Flash-Lite vs GPT OSS 120B High

GPT OSS 120B High significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GPT OSS 120B High is better at 2 benchmarks (AIME 2025, GPQA).

GPT OSS 120B High significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) costs the same as GPT OSS 120B High ($0.10/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 1.3x cheaper than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, GPT OSS 120B High is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
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 2.5 Flash-Lite 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 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas GPT OSS 120B High does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

GPT OSS 120B High

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 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 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while GPT OSS 120B High was released on 2025-08-05.

GPT OSS 120B High is 2 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

GPT OSS 120B High

Aug 5, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while GPT OSS 120B High's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

GPT OSS 120B High

—

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. GPT OSS 120B High is available from OpenAI.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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
Less expensive output tokens
OpenAI
Higher AIME 2025 score (92.5% vs 49.8%)
Higher GPQA score (80.9% vs 64.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
OpenAI
GPT OSS 120B High

FAQ

Common questions about Gemini 2.5 Flash-Lite vs GPT OSS 120B High

GPT OSS 120B High significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.
Both models cost $0.10 per million input tokens.
Gemini 2.5 Flash-Lite 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), multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash-Lite is developed by Google and GPT OSS 120B High is developed by OpenAI.