Llama 3.2 90B Instruct vs Nova Pro
Nova Pro leads the LLM Stats Score 12.2 to 5.2. Llama 3.2 90B Instruct is 3.9x cheaper per token.
Meta · Amazon · Updated for 2026
Which is better?
Nova Pro leads the overall LLM Stats Score 12.2 to 5.2, ranking #268 overall.
In the 7 individual benchmarks reported for both models, Nova Pro wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 90B Instruct is roughly 3.9x 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 Llama 3.2 90B Instruct
- cost matters — it's about 3.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- overall performance matters — it scores 12.2 and ranks #268 on LLM Stats
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
- 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
13 reported for Llama 3.2 90B Instruct · 27 for Nova Pro
Llama 3.2 90B Instruct outperforms in 1 benchmarks (MMLU), while Nova Pro is better at 6 benchmarks (ChartQA, DocVQA, GPQA, MATH, MMMU, TextVQA).
Nova Pro 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 90B Instruct ($0.35/1M tokens) is 2.3x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 8.0x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than Llama 3.2 90B Instruct.*
* 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 Llama 3.2 90B Instruct's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Llama 3.2 90B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Llama 3.2 90B Instruct and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 90B Instruct
Nova Pro
License
Usage and distribution terms
Llama 3.2 90B Instruct is licensed under Llama 3.2, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.2 90B Instruct was released on 2024-09-25, while Nova Pro was released on 2024-11-20.
Nova Pro is 2 months newer than Llama 3.2 90B Instruct.
Sep 25, 2024
2.0 years ago
Nov 20, 2024
1.9 years ago
1mo 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 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. Nova Pro is available from Bedrock.
Llama 3.2 90B Instruct
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 90B Instruct and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 90B Instruct vs Nova Pro.