GPT-4 vs Nova Pro
Nova Pro leads the LLM Stats Score 12.3 to 3.0. Nova Pro is 26.8x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
Nova Pro leads the overall LLM Stats Score 12.3 to 3.0, ranking #258 overall.
In the 5 individual benchmarks reported for both models, Nova Pro wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Pro is roughly 26.8x 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
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose Nova Pro
- overall performance matters — it scores 12.3 and ranks #258 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- cost matters — it's about 26.8x 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
12 reported for GPT-4 · 27 for Nova Pro
GPT-4 outperforms in 1 benchmarks (MMLU), while Nova Pro is better at 4 benchmarks (DROP, GPQA, HumanEval, MATH).
Nova Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 37.5x more expensive than Nova Pro ($0.80/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 18.8x more expensive than Nova Pro ($3.20/1M tokens).
In conclusion, GPT-4 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's 32,768 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4 and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
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 was released on 2023-06-13, while Nova Pro was released on 2024-11-20.
Nova Pro is 18 months newer than GPT-4.
Jun 13, 2023
3.3 years ago
Nov 20, 2024
1.8 years ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Nova Pro's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Nova Pro's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Nova Pro is available from Bedrock.
GPT-4
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Nova Pro.