Model Comparison
Llama 3.2 11B Instruct vs Ministral 8B InstructWhich is better in 2026?
Both models are evenly matched across the benchmarks. Llama 3.2 11B Instruct is 2.0x cheaper per token.
Verdict: Llama 3.2 11B Instruct vs Ministral 8B Instruct — which is better?
Llama 3.2 11B Instruct (by Meta) and Ministral 8B Instruct (by Mistral AI) 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.
Llama 3.2 11B Instruct outperforms in 1 benchmarks (MMLU), while Ministral 8B Instruct is better at 1 benchmark (MATH). Both models are evenly matched across the benchmarks.
On price, Llama 3.2 11B Instruct is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Llama 3.2 11B Instruct if…
- cost matters — it's about 2.0x cheaper per token
Choose Ministral 8B Instruct if…
- you want the most recent training data — it shipped Oct 2024
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 11B Instruct outperforms in 1 benchmarks (MMLU), while Ministral 8B Instruct is better at 1 benchmark (MATH).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 2.0x cheaper than Ministral 8B Instruct ($0.10/1M tokens).
For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 2.0x cheaper than Ministral 8B Instruct ($0.10/1M tokens).
In conclusion, Ministral 8B Instruct is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.2 11B Instruct has 2.6B more parameters than Ministral 8B Instruct, making it 32.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 11B Instruct supports multimodal inputs, whereas Ministral 8B Instruct does not.
Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.2 11B Instruct
Ministral 8B Instruct
License
Usage and distribution terms
Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Ministral 8B Instruct uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2 Community License
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Llama 3.2 11B Instruct was released on 2024-09-25, while Ministral 8B Instruct was released on 2024-10-16.
Ministral 8B Instruct is 1 month newer than Llama 3.2 11B Instruct.
Sep 25, 2024
1.8 years ago
Oct 16, 2024
1.8 years ago
3w newerKnowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Ministral 8B Instruct's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Ministral 8B Instruct's cutoff date.
Dec 2023
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Provider Availability
Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Ministral 8B Instruct is available from Mistral AI.
Llama 3.2 11B Instruct
Ministral 8B Instruct
Outputs Comparison
Key Takeaways
Ministral 8B Instruct
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.2 11B Instruct and Ministral 8B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.2 11B Instruct vs Ministral 8B Instruct.