Llama 3.3 70B Instruct vs Mistral Large 3
Llama 3.3 70B Instruct and Mistral Large 3 are closely matched at 13.5 and 10.2 on the LLM Stats Score. Llama 3.3 70B Instruct is 22.0x cheaper per token.
Meta · Mistral AI · Updated for 2026
Which is better?
Llama 3.3 70B Instruct and Mistral Large 3 are closely matched on the overall LLM Stats Score at 13.5 and 10.2.
In the 1 individual benchmarks reported for both models, Mistral Large 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.3 70B Instruct is roughly 22.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.3 70B Instruct also accepts a larger context window (131,072 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 Llama 3.3 70B Instruct
- cost matters — it's about 22.0x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Mistral Large 3
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Llama 3.3 70B Instruct · 8 for Mistral Large 3
Llama 3.3 70B Instruct outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).
Mistral Large 3 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 3.3 70B Instruct ($0.10/1M tokens) is 20.0x cheaper than Mistral Large 3 ($2.00/1M tokens).
For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 25.0x cheaper than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Mistral Large 3 is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 3 has 605.0B more parameters than Llama 3.3 70B Instruct, making it 864.3% larger.
Context Window
Maximum input and output token capacity
Llama 3.3 70B Instruct accepts 131,072 input tokens compared to Mistral Large 3's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Large 3 supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.3 70B Instruct
Mistral Large 3
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Mistral Large 3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.3 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while Mistral Large 3 was released on 2025-09-01.
Mistral Large 3 is 9 months newer than Llama 3.3 70B Instruct.
Dec 6, 2024
1.9 years ago
Sep 1, 2025
1.1 years ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Mistral Large 3 is available from Mistral AI.
Llama 3.3 70B Instruct
Mistral Large 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.3 70B Instruct and Mistral Large 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.3 70B Instruct vs Mistral Large 3.
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