Aisingapore Gemma Sea Lion V4.27b It

PublicAI chat

Aisingapore Gemma Sea Lion V4.27b It is a PublicAI chat model.It supports a 8,192-token context windowwith up to 4,096 output tokens. Capabilities include function calling. Route Aisingapore Gemma Sea Lion V4.27b It via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Aisingapore Gemma Sea Lion V4.27b It yet. If you have a source from PublicAI's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input
Output

Limits

Context window
8,192 tokens
Max input
8,192 tokens
Max output
4,096 tokens
Modalities
text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Where it's strong

  • +agentic workflows that depend on reliable tool calls

Watch out for

  • !limited context — 8,192-token window is in the bottom quartile; not ideal for long documents or large RAG
  • !small context (under 16K tokens)
  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Aisingapore Gemma Sea Lion V4.27b It yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Aisingapore Gemma Sea Lion V4.27b It via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Aisingapore Gemma Sea Lion V4.27b It via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="publicai/aisingapore-gemma-sea-lion-v4-27b-it",
    messages=[{"role": "user", "content": "Hello, Aisingapore Gemma Sea Lion V4.27b It!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="publicai/aisingapore-gemma-sea-lion-v4-27b-it",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

FAQ

How much does Aisingapore Gemma Sea Lion V4.27b It cost?

Public per-token pricing for Aisingapore Gemma Sea Lion V4.27b It is not yet published. Submit a source on this page to help us add it.

What is the context window of Aisingapore Gemma Sea Lion V4.27b It?

Aisingapore Gemma Sea Lion V4.27b It supports a 8,192-token context window with up to 4,096 output tokens.

Does Aisingapore Gemma Sea Lion V4.27b It support function calling?

Yes — Aisingapore Gemma Sea Lion V4.27b It supports function (tool) calling.

Is Aisingapore Gemma Sea Lion V4.27b It good for production?

Aisingapore Gemma Sea Lion V4.27b It is well-suited for agentic workflows that depend on reliable tool calls. Consider alternatives if you need limited context — 8,192-token window is in the bottom quartile; not ideal for long documents or large RAG.

How can I route to Aisingapore Gemma Sea Lion V4.27b It with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Aisingapore Gemma Sea Lion V4.27b It

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.