Model Comparison

GPT-3.5 Turbo vs Nova Pro

Nova Pro significantly outperforms across most benchmarks. GPT-3.5 Turbo is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Nova Pro is better at 6 benchmarks (DROP, GPQA, HumanEval, MATH, MMLU, MMMU).

Nova Pro significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-3.5 Turbo costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 1.6x cheaper than Nova Pro ($0.80/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 2.1x cheaper than Nova Pro ($3.20/1M tokens).

In conclusion, Nova Pro is more expensive than GPT-3.5 Turbo.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
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 GPT-3.5 Turbo's 16,385 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas GPT-3.5 Turbo does not.

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

GPT-3.5 Turbo

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-3.5 Turbo

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Nova Pro was released on 2024-11-20.

Nova Pro is 20 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

Nova Pro

Nov 20, 2024

1.4 years ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Nova Pro's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Nova Pro's cutoff date.

GPT-3.5 Turbo

Sep 2021

Nova Pro

—

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Nova Pro is available from Bedrock.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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

OpenAI
Less expensive input tokens
Less expensive output tokens
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher DROP score (85.4% vs 70.2%)
Higher GPQA score (46.9% vs 30.8%)
Higher HumanEval score (89.0% vs 68.0%)
Higher MATH score (76.6% vs 43.1%)
Higher MMLU score (85.9% vs 69.8%)
Higher MMMU score (61.7% vs 0.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Amazon
Nova Pro

FAQ

Common questions about GPT-3.5 Turbo vs Nova Pro

Nova Pro significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
GPT-3.5 Turbo is 1.6x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.
GPT-3.5 Turbo supports 16K 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 (16K vs 300K), input pricing ($0.50 vs $0.80/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and Nova Pro is developed by Amazon.