Gemma 3 27B vs Sonar (Comparative Analysis)
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Comparative Analysis: Gemma 3 27B vs. Sonar
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Overview
Sonar was released 1 month before Gemma 3 27B.
 Gemma 3 27B |  Sonar | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Perplexity |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 127.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | Not specified tokens |
Release Date When this model first became publicly available | March 12, 2025 1 year ago March 12th, 2025 | January 27, 2025 1 year ago January 27th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 3 27B | Sonar | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Gemma 3 27B is roughly 0.08x less expensive compared to Sonar for input tokens and roughly 0.5x less expensive for output tokens.
| Gemma 3 27B | Sonar | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.08 per million tokens | $1.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.45 per million tokens | $1.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.005 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.04 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemma 3 27B and Sonar.
| Gemma 3 27B | Sonar | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 7.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 10.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 0.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemma 3 27B and Sonar unique.
Gemma 3 27B by Google understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.08/M input and $0.45/M output tokens. Released March 12th, 2025.Sonar by Perplexity understands both text and images. It can handle standard conversations with its 127.1K token context window. Reasonably priced at $1.00/M input and $1.00/M output tokens. Released January 27th, 2025.Explore More Comparisons
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