Llama 3.2 11B Instruct vs Mistral Large 2
Mistral Large 2 leads the LLM Stats Score 7.4 to -1.3. Llama 3.2 11B Instruct is 60.0x cheaper per token.
Meta · Mistral AI · Updated for 2026
Which is better?
Mistral Large 2 leads the overall LLM Stats Score 7.4 to -1.3, ranking #291 overall.
In the 1 individual benchmarks reported for both models, Mistral Large 2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 11B Instruct is roughly 60.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 3.2 11B Instruct
- cost matters — it's about 60.0x cheaper per token
- you want the most recent training data — it shipped Sep 2024
Choose Mistral Large 2
- overall performance matters — it scores 7.4 and ranks #291 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Llama 3.2 11B Instruct · 5 for Mistral Large 2
Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Mistral Large 2 is better at 1 benchmark (MMLU).
Mistral Large 2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 40.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 120.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 112.4B more parameters than Llama 3.2 11B Instruct, making it 1060.4% 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
Documented input modalities across available providers
Llama 3.2 11B Instruct supports multimodal inputs, whereas Mistral Large 2 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
Mistral Large 2
License
Usage and distribution terms
Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Mistral Large 2 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 Mistral Large 2 was released on 2024-07-24.
Llama 3.2 11B Instruct is 2 months newer than Mistral Large 2.
Sep 25, 2024
2.0 years ago
2mo newerJul 24, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Mistral Large 2'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 Mistral Large 2'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. Mistral Large 2 is available from Google, Mistral AI.
Llama 3.2 11B Instruct
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 11B Instruct and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 11B Instruct vs Mistral Large 2.