Gemma 3 4B vs Nova Pro
Nova Pro leads the LLM Stats Score 12.2 to -1.9. Gemma 3 4B is 56.0x cheaper per token.
Google · Amazon · Updated for 2026
Which is better?
Nova Pro leads the overall LLM Stats Score 12.2 to -1.9, ranking #268 overall.
In the 8 individual benchmarks reported for both models, Nova Pro wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 4B is roughly 56.0x 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 Gemma 3 4B
- cost matters — it's about 56.0x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- overall performance matters — it scores 12.2 and ranks #268 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 8 exact shared results
- you process long inputs — it offers a 300,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 27 for Nova Pro
Gemma 3 4B outperforms in 0 benchmarks, while Nova Pro is better at 8 benchmarks (ChartQA, DocVQA, GPQA, GSM8k, HumanEval, IFEval, MATH, TextVQA).
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, Gemma 3 4B ($0.02/1M tokens) is 40.0x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 80.0x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than Gemma 3 4B.*
* 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 Gemma 3 4B's 131,072 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Gemma 3 4B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and Nova Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
Nova Pro
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Nova Pro was released on 2024-11-20.
Gemma 3 4B is 4 months newer than Nova Pro.
Mar 12, 2025
1.6 years ago
3mo newerNov 20, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Nova Pro's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Nova Pro's cutoff date.
Aug 2024
—
Provider Availability
Gemma 3 4B is available from DeepInfra. Nova Pro is available from Bedrock.
Gemma 3 4B
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs Nova Pro.