Gemini 3.8 Flash vs Llama 3.2 11B Instruct
Gemini 3.8 Flash leads the LLM Stats Score 51.3 to -1.1. Llama 3.2 11B Instruct is 30.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 51.3 to -1.1, ranking #14 overall.
On price, Llama 3.2 11B Instruct is roughly 30.0x 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 51.3 and ranks #14 on LLM Stats
- your work emphasizes reasoning — 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 Llama 3.2 11B Instruct
- cost matters — it's about 30.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 3.8 Flash · 11 for Llama 3.2 11B Instruct
Gemini 3.8 Flash and Llama 3.2 11B Instructdon'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 15.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 75.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, Gemini 3.8 Flash is more expensive than Llama 3.2 11B Instruct.*
* 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 Llama 3.2 11B Instruct's 128,000 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.8 Flash and Llama 3.2 11B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.8 Flash
Llama 3.2 11B Instruct
License
Usage and distribution terms
Gemini 3.8 Flash is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
Gemini 3.8 Flash was released on 2026-09-02, while Llama 3.2 11B Instruct was released on 2024-09-25.
Gemini 3.8 Flash is 24 months newer than Llama 3.2 11B Instruct.
Sep 2, 2026
0 days ago
1.9yr newerSep 25, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a knowledge cutoff of 2026-03-31, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.
Gemini 3.8 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).
Mar 2026
2.3 yr newerDec 2023
Provider Availability
Gemini 3.8 Flash is available from Google. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
Gemini 3.8 Flash
Llama 3.2 11B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs Llama 3.2 11B Instruct.