GPT-4o vs Nova Pro
GPT-4o and Nova Pro are closely matched at 14.2 and 12.3 on the LLM Stats Score. Nova Pro is 3.1x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
GPT-4o and Nova Pro are closely matched on the overall LLM Stats Score at 14.2 and 12.3.
In the 7 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 3.1x 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-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Nova Pro
- your work emphasizes coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 7 exact shared results
- cost matters — it's about 3.1x 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
38 reported for GPT-4o · 27 for Nova Pro
GPT-4o outperforms in 3 benchmarks (EgoSchema, GPQA, MMMU), while Nova Pro is better at 4 benchmarks (ChartQA, DocVQA, IFEval, MMLU).
Nova Pro 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-4o ($2.50/1M tokens) is 3.1x more expensive than Nova Pro ($0.80/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 3.1x more expensive than Nova Pro ($3.20/1M tokens).
In conclusion, GPT-4o 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-4o's 128,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-4o is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
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-4o was released on 2024-08-06, while Nova Pro was released on 2024-11-20.
Nova Pro is 4 months newer than GPT-4o.
Aug 6, 2024
2.1 years ago
Nov 20, 2024
1.8 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Nova Pro is available from Bedrock.
GPT-4o
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Nova Pro.