Nova Pro vs Pixtral Large
Nova Pro and Pixtral Large are closely matched at 12.2 and 11.8 on the LLM Stats Score. Nova Pro is 2.1x cheaper per token.
Amazon · Mistral AI · Updated for 2026
Which is better?
Nova Pro and Pixtral Large are closely matched on the overall LLM Stats Score at 12.2 and 11.8.
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 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
Choose Pixtral Large
- 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
27 reported for Nova Pro · 7 for Pixtral Large
Nova Pro outperforms in 2 benchmarks (ChartQA, DocVQA), while Pixtral Large is better at 1 benchmark (MMMU).
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, Nova Pro ($0.80/1M tokens) is 2.5x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Nova Pro ($3.20/1M tokens) is 1.9x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large 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 Pixtral Large's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Pixtral Large is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Nova Pro and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Nova Pro
Pixtral Large
License
Usage and distribution terms
Nova Pro is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Nova Pro was released on 2024-11-20, while Pixtral Large was released on 2024-11-18.
Nova Pro is 0 month newer than Pixtral Large.
Nov 20, 2024
1.9 years ago
2d newerNov 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Nova Pro is available from Bedrock. Pixtral Large is available from Mistral AI.
Nova Pro
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Nova Pro and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nova Pro vs Pixtral Large.