 Hunter Alpha |  Sonar | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenRouter | Perplexity |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 127.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32K tokens | Not specified tokens |
Release Date When this model first became publicly available | March 11, 2026 7 days ago March 11th, 2026 | January 27, 2025 1 year ago January 27th, 2025 |
Hunter Alpha | Sonar | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
| Hunter Alpha | Sonar | |
|---|---|---|
Input Token Cost Cost per million input tokens | Not specified | $1.00 per million tokens |
Output Token Cost Cost per million outut tokens | Not specified | $1.00 per million tokens |
| Hunter Alpha | Sonar | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
Hunter Alpha by OpenRouter understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Released March 11th, 2026.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.Compare your models with top performers across different categories
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