Gemma 4 26B A4B vs Llama 4 Scout (Comparative Analysis)
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Comparative Analysis: Gemma 4 26B A4B vs. Llama 4 Scout
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Overview
Llama 4 Scout was released 12 months before Gemma 4 26B A4B.
 Gemma 4 26B A4B |  Llama 4 Scout | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Meta |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 1.3M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 3, 2026 3 months ago April 3rd, 2026 | April 5, 2025 1 year ago April 5th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | August 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 26B A4B | Llama 4 Scout | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemma | Llama4 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 4 26B A4B is roughly 1.2x more expensive compared to Llama 4 Scout for input tokens and roughly 1.2x more expensive for output tokens.
| Gemma 4 26B A4B | Llama 4 Scout | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.12 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million output tokens | $0.35 per million tokens | $0.30 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.05 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemma 4 26B A4B and Llama 4 Scout.
| Gemma 4 26B A4B | Llama 4 Scout | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 25.7 (Artificial Analysis index; higher is better) | 10 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 39.3 (Artificial Analysis index; higher is better) | 8.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 11 (Artificial Analysis index; higher is better) | 1.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 929 Elo (#105 in Data Viz (39.3% win rate)) |
At a Glance
Quick overview of what makes Gemma 4 26B A4B and Llama 4 Scout unique.
Gemma 4 26B A4B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.12/M input and $0.35/M output tokens. Released April 3rd, 2026.Llama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1.3M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 2025.Explore More Comparisons
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