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May 12, 2026
GAPREMIERv26.04

SAGE 2.4 Actus

Our frontier-class multimodal model optimized for agentic and coding use cases. Released as open weights under a Modified MIT license.

Speed
Performance
Context
128k
Price
$0.40 / $1.20 /M Tokens

Try it

import sagea

client = sagea.Client(api_key="your-api-key")

response = client.chat.completions.create(
    model="sage-2-4-actus",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
)

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

Base URL: https://api.sagea.space/v1 — Auth: Authorization: Bearer $SAGEA_API_KEY

Specifications

Parameters72B
Context Length128,000 tokens
Max Output8,192 tokens
Training DataUp to April 2026
LicenseModified MIT
Other Models

Capabilities

SAGE 2.4 Actus is SAGEA's frontier-class multimodal model for agentic and coding workloads. It combines deep reasoning with real-time tool use across text, vision, and code.

  • Agentic workflows: autonomous function calling, multi-step planning, and tool chaining via POST https://api.sagea.space/v1/chat/completions and POST https://api.sagea.space/v1/agents.
  • Advanced coding: state-of-the-art generation across 50+ languages with 128k context for full codebases.
  • Multimodal understanding: text + images + code in a unified context window.
  • Structured outputs: JSON mode and schema-constrained generation for production pipelines.

Benchmarks

BenchmarkScoreNotes
Agentic tool use (internal)87.4Multi-step function calling
Code generation (multi-lang)82.150+ languages
Reasoning (chain-of-thought)84.6128k context

Use cases

  • Coding agents and software engineering copilots
  • Research assistants over large documents and repos
  • Enterprise workflows with custom tools and APIs

Limitations

  • 128k context is powerful but costs more per request — use SAGE 2.5 Celer for simple Q&A.
  • Always evaluate on your data before production rollout. See Choosing a Model.

Next steps

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