Hunter Alpha

Text input Image input Text output
Author's Description

Hunter Alpha is a 1 Trillion parameter + 1M token context frontier intelligence model built for agentic use. It excels at long-horizon planning, complex reasoning, and sustained multi-step task execution, with the reliability and instruction-following precision that frameworks like OpenClaw need. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.

Key Specifications
Cost
$
Context
1M
Parameters
1T (Rumoured)
Released
Mar 11, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Temperature Max Tokens Top P Tool Choice Presence Penalty Frequency Penalty Response Format Reasoning Include Reasoning Stop
Features

This model supports the following features:

Tools Response Format Reasoning
Performance Summary

Hunter Alpha, a 1 Trillion parameter model, demonstrates exceptional reliability with a 100% success rate across all benchmarks, indicating consistent and usable responses. Its speed performance, however, tends to be slower, ranking in the 16th percentile. Price data is currently unavailable, suggesting potential free tier usage. The model exhibits remarkable accuracy across several critical categories. It achieved perfect scores in General Knowledge, Email Classification, and Ethics, with Email Classification also being noted for its speed among accurate models. Hunter Alpha also shows strong capabilities in Reasoning (96% accuracy), Mathematics (95% accuracy), and Coding (93% accuracy), placing it in high percentiles for these demanding tasks. Its instruction-following capabilities are robust at 77% accuracy, ranking in the 86th percentile. While its hallucination rate is low at 94% accuracy, it's not among the absolute best in this specific metric. Overall, Hunter Alpha excels in complex reasoning, precise instruction following, and knowledge-intensive tasks, making it well-suited for agentic applications requiring high accuracy and reliability, despite its longer response times.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0
Completion $0

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Stealth
Stealth | openrouter/hunter-alpha 1M $0 / 1M tokens $0 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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