GPT-4 Turbo vs Nova Pro
GPT-4 Turbo and Nova Pro are closely matched at 9.0 and 12.2 on the LLM Stats Score. Nova Pro is 10.7x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
GPT-4 Turbo and Nova Pro are closely matched on the overall LLM Stats Score at 9.0 and 12.2.
In the 5 individual benchmarks reported for both models, GPT-4 Turbo wins 3; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
Choose Nova Pro
- 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for GPT-4 Turbo · 27 for Nova Pro
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
2.5 years ago
Nov 20, 2024
1.9 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
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Nova Pro.