Model Comparison
Llama 3.1 70B Instruct vs Nova ProWhich is better in 2026?
Nova Pro shows notably better performance in the majority of benchmarks. Llama 3.1 70B Instruct is 7.0x cheaper per token.
Verdict: Llama 3.1 70B Instruct vs Nova Pro — which is better?
Llama 3.1 70B Instruct (by Meta) and Nova Pro (by Amazon) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Llama 3.1 70B Instruct outperforms in 1 benchmarks (BFCL), while Nova Pro is better at 5 benchmarks (DROP, GPQA, HumanEval, IFEval, MMLU). Nova Pro shows notably better performance in the majority of benchmarks.
On price, Llama 3.1 70B Instruct is roughly 7.0x 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.
Choose Llama 3.1 70B Instruct if…
- cost matters — it's about 7.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Nova Pro if…
- you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
- you process long inputs — it offers a 300,000 token context window
- you want the most recent training data — it shipped Nov 2024
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.1 70B Instruct outperforms in 1 benchmarks (BFCL), while Nova Pro is better at 5 benchmarks (DROP, GPQA, HumanEval, IFEval, MMLU).
Nova Pro shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 4.0x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 16.0x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than Llama 3.1 70B 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 3.1 70B Instruct's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Nova Pro supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.1 70B Instruct
Nova Pro
License
Usage and distribution terms
Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.1 70B Instruct was released on 2024-07-23, while Nova Pro was released on 2024-11-20.
Nova Pro is 4 months newer than Llama 3.1 70B Instruct.
Jul 23, 2024
2.0 years ago
Nov 20, 2024
1.6 years ago
4mo 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 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Nova Pro is available from Bedrock.
Llama 3.1 70B Instruct
Nova Pro
Outputs Comparison
Key Takeaways
Nova Pro
View detailsAmazon
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.1 70B Instruct and Nova Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.1 70B Instruct vs Nova Pro.