Model Comparison
Gemini 3 Flash vs Llama 3.2 90B InstructWhich is better in 2026?
Gemini 3 Flash significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is 3.1x cheaper per token.
Verdict: Gemini 3 Flash vs Llama 3.2 90B Instruct — which is better?
Gemini 3 Flash (by Google) and Llama 3.2 90B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 3 Flash outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Llama 3.2 90B Instruct is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.
On price, Llama 3.2 90B Instruct is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Flash if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Llama 3.2 90B Instruct if…
- cost matters — it's about 3.1x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Llama 3.2 90B Instruct is better at 0 benchmarks.
Gemini 3 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 1.4x more expensive than Llama 3.2 90B Instruct ($0.35/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 7.5x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).
In conclusion, Gemini 3 Flash is more expensive than Llama 3.2 90B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Flash accepts 1,000,000 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Llama 3.2 90B Instruct can generate longer responses up to 128,000 tokens, while Gemini 3 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Flash and Llama 3.2 90B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Flash
Llama 3.2 90B Instruct
License
Usage and distribution terms
Gemini 3 Flash is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2
Open weights
Release Timeline
When each model was launched
Gemini 3 Flash was released on 2025-12-17, while Llama 3.2 90B Instruct was released on 2024-09-25.
Gemini 3 Flash is 15 months newer than Llama 3.2 90B Instruct.
Dec 17, 2025
5 months ago
1.2yr newerSep 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Llama 3.2 90B Instruct's cutoff date is not specified.
We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Flash is available from Google. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.
Gemini 3 Flash
Llama 3.2 90B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3 Flash vs Llama 3.2 90B Instruct.