GPT-4 vs Nova Micro
GPT-4 and Nova Micro are closely matched at 3.2 and 2.5 on the LLM Stats Score. Nova Micro is 652.2x cheaper per token.
OpenAI · Amazon · Updated for 2026
Which is better?
GPT-4 and Nova Micro are closely matched on the overall LLM Stats Score at 3.2 and 2.5.
In the 5 individual benchmarks reported for both models, Nova Micro wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Micro is roughly 652.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Micro also accepts a larger context window (128,000 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 Micro
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- cost matters — it's about 652.2x cheaper per token
- you process long inputs — it offers a 128,000 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 · 17 for Nova Micro
GPT-4 outperforms in 2 benchmarks (DROP, MMLU), while Nova Micro is better at 3 benchmarks (GPQA, HumanEval, MATH).
Nova Micro 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 ($30.00/1M tokens) is 1000.0x more expensive than Nova Micro ($0.03/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 428.6x more expensive than Nova Micro ($0.14/1M tokens).
In conclusion, GPT-4 is more expensive than Nova Micro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Micro accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Nova Micro can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas Nova Micro does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Nova Micro
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 Micro was released on 2024-11-20.
Nova Micro is 18 months newer than GPT-4.
Jun 13, 2023
3.2 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 Micro'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 Micro's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Nova Micro is available from Bedrock.
GPT-4
Nova Micro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Nova Micro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Nova Micro.