Gemini 3.8 Flash vs GPT OSS 120B High
Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 25.5. GPT OSS 120B High is 7.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.0 to 25.5, ranking #15 overall.
On price, GPT OSS 120B High is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.8 Flash also accepts a larger context window (1,048,576 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 Gemini 3.8 Flash
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose GPT OSS 120B High
- cost matters — it's about 7.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Gemini 3.8 Flash · 7 for GPT OSS 120B High
Gemini 3.8 Flash and GPT OSS 120B Highdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 7.5x more expensive than GPT OSS 120B High ($0.10/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 7.5x more expensive than GPT OSS 120B High ($0.50/1M tokens).
In conclusion, Gemini 3.8 Flash is more expensive than GPT OSS 120B High.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.8 Flash 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 3.8 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.8 Flash supports multimodal inputs, whereas GPT OSS 120B High does not.
Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.8 Flash
GPT OSS 120B High
License
Usage and distribution terms
Gemini 3.8 Flash 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.8 Flash was released on 2026-09-02, while GPT OSS 120B High was released on 2025-08-05.
Gemini 3.8 Flash is 13 months newer than GPT OSS 120B High.
Sep 2, 2026
2 days ago
1.1yr newerAug 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while GPT OSS 120B High's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. GPT OSS 120B High is available from OpenAI, Fireworks.
Gemini 3.8 Flash
GPT OSS 120B High
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and GPT OSS 120B High side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs GPT OSS 120B High.