Model Comparison

Nova Pro vs Phi-3.5-mini-instruct

Nova Pro significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is 14.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Nova Pro outperforms in 6 benchmarks (ARC-C, GPQA, GSM8k, HumanEval, MATH, MMLU), while Phi-3.5-mini-instruct is better at 1 benchmark (SQuALITY).

Nova Pro significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-3.5-mini-instruct costs less

For input processing, Nova Pro ($0.80/1M tokens) is 8.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, Nova Pro ($3.20/1M tokens) is 32.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, Nova Pro is more expensive than Phi-3.5-mini-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Phi-3.5-mini-instruct is limited to 128,000 tokens.

Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.

Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nova Pro

Text
Images
Audio
Video

Phi-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Nova Pro is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Nova Pro

Proprietary

Closed source

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Nova Pro was released on 2024-11-20, while Phi-3.5-mini-instruct was released on 2024-08-23.

Nova Pro is 3 months newer than Phi-3.5-mini-instruct.

Nova Pro

Nov 20, 2024

1.4 years ago

2mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.6 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

Nova Pro is available from Bedrock. Phi-3.5-mini-instruct is available from Azure.

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M

Phi-3.5-mini-instruct

azure logo
Azure
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher ARC-C score (94.8% vs 84.6%)
Higher GPQA score (46.9% vs 30.4%)
Higher GSM8k score (94.8% vs 86.2%)
Higher HumanEval score (89.0% vs 62.8%)
Higher MATH score (76.6% vs 48.5%)
Higher MMLU score (85.9% vs 69.0%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SQuALITY score (24.3% vs 19.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Amazon
Nova Pro
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Nova Pro vs Phi-3.5-mini-instruct

Nova Pro significantly outperforms across most benchmarks. Nova Pro is made by Amazon and Phi-3.5-mini-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.
Phi-3.5-mini-instruct is 8.0x cheaper for input tokens. Nova Pro costs $0.80/M input and $3.20/M output via bedrock. Phi-3.5-mini-instruct costs $0.10/M input and $0.10/M output via azure.
Nova Pro supports 300K tokens and Phi-3.5-mini-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (300K vs 128K), input pricing ($0.80 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Nova Pro is developed by Amazon and Phi-3.5-mini-instruct is developed by Microsoft.