Agnes 2.5 Pro Alpha
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Agnes 2.5 Pro Alpha

agnes-2.5-pro-alphallms.txt
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Agnes 2.5 Pro Alpha is Agnes AI’s paid inference model, suitable for advanced coding, scientific reasoning, long-context analysis, agent workflows, and multimodal understanding. The model is accessed via an OpenAI-compatible Chat Completions API.

Pricing

  • Input Tokens: $0.45 /M tokens
  • Output Tokens: $0.9 /M tokens
  • Cache Read: $0.0038 /M tokens

Input Modalities

  • Text
  • Vision

Output Modalities

  • Text

Context length

  • 1M tokens

Max output

  • 65.5K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

Agnes agnes-2.5-pro-alpha
Pricing$0.45$0.9
Cache$0.0038
Context1M
Max output65K
Latency6.7S
Throughput50.6TPS
Uptime
66.67% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today

Performance for agnes-2.5-pro-alpha

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="agnes-2.5-pro-alpha",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Agnes 2.5 Pro Alpha?

Agnes 2.5 Pro Alpha is Agnes AI’s paid inference model, suitable for advanced coding, scientific reasoning, long-context analysis, agent workflows, and multimodal understanding. The model is accessed via an OpenAI-compatible Chat Completions API.