Model Comparison

Llama 3.3 70B Instruct vs Nova Pro

Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is 7.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 4.0x 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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Llama 3.3 70B Instruct is limited to 128,000 tokens.

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

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 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Nova Pro

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.

Llama 3.3 70B Instruct

Dec 6, 2024

1.4 years ago

2w newer
Nova Pro

Nov 20, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Nova Pro is available from Bedrock.

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (50.5% vs 46.9%)
Higher MATH score (77.0% vs 76.6%)
Higher MMLU score (86.0% vs 85.9%)
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher HumanEval score (89.0% vs 88.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.3 70B Instruct
Amazon
Nova Pro

FAQ

Common questions about Llama 3.3 70B Instruct vs Nova Pro

Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is made by Meta and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
Llama 3.3 70B Instruct is 4.0x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.
Llama 3.3 70B Instruct supports 128K tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 300K), input pricing ($0.20 vs $0.80/M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Llama 3.3 70B Instruct is developed by Meta and Nova Pro is developed by Amazon.