Mistral Large 2 vs Nova Pro
Mistral Large 2 and Nova Pro are closely matched at 7.4 and 12.3 on the LLM Stats Score. Nova Pro is 2.1x cheaper per token.
Mistral AI · Amazon · Updated for 2026
Which is better?
Mistral Large 2 and Nova Pro are closely matched on the overall LLM Stats Score at 7.4 and 12.3.
In the 3 individual benchmarks reported for both models, Nova Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Pro is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Pro also accepts a larger context window (300,000 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 Mistral Large 2
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 2.1x cheaper per token
- you process long inputs — it offers a 300,000 token context window
- you want the most recent training data — it shipped Nov 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Mistral Large 2 · 27 for Nova Pro
Mistral Large 2 outperforms in 1 benchmarks (HumanEval), while Nova Pro is better at 2 benchmarks (GSM8k, MMLU).
Nova Pro shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 2 ($2.00/1M tokens) is 2.5x more expensive than Nova Pro ($0.80/1M tokens).
For output processing, Mistral Large 2 ($6.00/1M tokens) is 1.9x more expensive than Nova Pro ($3.20/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Nova Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Pro accepts 300,000 input tokens compared to Mistral Large 2's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Nova Pro supports multimodal inputs, whereas Mistral Large 2 does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 2
Nova Pro
License
Usage and distribution terms
Mistral Large 2 is licensed under Mistral Research License, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 2 was released on 2024-07-24, while Nova Pro was released on 2024-11-20.
Nova Pro is 4 months newer than Mistral Large 2.
Jul 24, 2024
2.2 years ago
Nov 20, 2024
1.8 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Large 2 is available from Google, Mistral AI. Nova Pro is available from Bedrock.
Mistral Large 2
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 2 and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 2 vs Nova Pro.