Model Comparison
Gemma 3 4B vs Llama 4 ScoutWhich is better in 2026?
Llama 4 Scout significantly outperforms across most benchmarks. Gemma 3 4B is 5.4x cheaper per token.
Verdict: Gemma 3 4B vs Llama 4 Scout — which is better?
Gemma 3 4B (by Google) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemma 3 4B outperforms in 1 benchmarks (MATH), while Llama 4 Scout is better at 6 benchmarks (ChartQA, DocVQA, GPQA, LiveCodeBench, MBPP, MMLU-Pro). Llama 4 Scout significantly outperforms across most benchmarks.
On price, Gemma 3 4B is roughly 5.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3 4B if…
- cost matters — it's about 5.4x cheaper per token
Choose Llama 4 Scout if…
- you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B outperforms in 1 benchmarks (MATH), while Llama 4 Scout is better at 6 benchmarks (ChartQA, DocVQA, GPQA, LiveCodeBench, MBPP, MMLU-Pro).
Llama 4 Scout significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 4.0x cheaper than Llama 4 Scout ($0.08/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 7.5x cheaper than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Llama 4 Scout is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Scout has 105.0B more parameters than Gemma 3 4B, making it 2625.0% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Gemma 3 4B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3 4B and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
Llama 4 Scout
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while Llama 4 Scout was released on 2025-04-05.
Llama 4 Scout is 1 month newer than Gemma 3 4B.
Mar 12, 2025
1.2 years ago
Apr 5, 2025
1.2 years ago
3w newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Llama 4 Scout'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 Llama 4 Scout's cutoff date.
Aug 2024
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Provider Availability
Gemma 3 4B is available from DeepInfra. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Gemma 3 4B
Llama 4 Scout
Outputs Comparison
Key Takeaways
Gemma 3 4B
View detailsDetailed Comparison
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FAQ
Common questions about Gemma 3 4B vs Llama 4 Scout.