Llama 3.3 70B Instruct vs Nova Pro
Llama 3.3 70B Instruct and Nova Pro are closely matched at 13.8 and 12.3 on the LLM Stats Score. Llama 3.3 70B Instruct is 11.2x cheaper per token.
Meta · Amazon · Updated for 2026
Which is better?
Llama 3.3 70B Instruct and Nova Pro are closely matched on the overall LLM Stats Score at 13.8 and 12.3.
In the 5 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.3 70B Instruct is roughly 11.2x 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 3.3 70B Instruct
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- cost matters — it's about 11.2x cheaper per token
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- you process long inputs — it offers a 300,000 token context window
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 · 27 for Nova Pro
Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Nova Pro is better at 1 benchmark (HumanEval).
Llama 3.3 70B Instruct has a slight edge in benchmark performance.
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 8.0x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, Llama 3.3 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 3.3 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 3.3 70B Instruct's 131,072 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Llama 3.3 70B Instruct is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Nova Pro supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.3 70B Instruct
Nova Pro
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.3 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while Nova Pro was released on 2024-11-20.
Llama 3.3 70B Instruct is 1 month newer than Nova Pro.
Dec 6, 2024
1.8 years ago
2w newerNov 20, 2024
1.8 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
Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Nova Pro is available from Bedrock.
Llama 3.3 70B Instruct
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.3 70B Instruct and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.3 70B Instruct vs Nova Pro.