Model Comparison
GPT-4 Turbo vs Nova ProWhich is better in 2026?
GPT-4 Turbo has a slight edge in benchmark performance. Nova Pro is 10.7x cheaper per token.
Verdict: GPT-4 Turbo vs Nova Pro — which is better?
GPT-4 Turbo (by OpenAI) 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.
GPT-4 Turbo outperforms in 3 benchmarks (DROP, GPQA, MMLU), while Nova Pro is better at 2 benchmarks (HumanEval, MATH). GPT-4 Turbo has a slight edge in benchmark performance.
On price, Nova Pro is roughly 10.7x 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 GPT-4 Turbo if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
Choose Nova Pro if…
- cost matters — it's about 10.7x cheaper per token
- 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
GPT-4 Turbo outperforms in 3 benchmarks (DROP, GPQA, MMLU), while Nova Pro is better at 2 benchmarks (HumanEval, MATH).
GPT-4 Turbo has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 12.5x more expensive than Nova Pro ($0.80/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 9.4x more expensive than Nova Pro ($3.20/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Nova Pro.*
* 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 GPT-4 Turbo's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Nova Pro supports multimodal inputs, whereas GPT-4 Turbo does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Nova Pro
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Nova Pro was released on 2024-11-20.
Nova Pro is 8 months newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
Nov 20, 2024
1.6 years ago
7mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Nova Pro's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Nova Pro's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Nova Pro is available from Bedrock.
GPT-4 Turbo
Nova Pro
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Nova Pro
View detailsAmazon
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs Nova Pro.