Gemma 3.27B It
Google AI chatGemma 3.27B It is a Google AI chat model.It supports a 131,072-token context windowwith up to 8,192 output tokens. Capabilities include function calling, vision. Route Gemma 3.27B It via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
We don't have verified per-token pricing for Gemma 3.27B It yet. If you have a source from Google AI's documentation, help us add it — your submission gets reviewed within 48 hours.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Aug 6, 2026.
| Input | — | |
| Output | — |
Context & limits
- Context window
- 131,072 tokens
- Max input
- 131,072 tokens
- Max output
- 8,192 tokens
- Modalities
- vision, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Gemma 3.27B It
Data-driven from Gemma 3.27B It's percentile within chat peers.
Where it's strong
- +agentic workflows that depend on reliable tool calls
- +document, chart, and screenshot understanding
Watch out for
- No major caveats flagged from public spec.
Benchmark scores
Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.
Call Gemma 3.27B 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.
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.# Gemma 3.27B 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="google/gemma-3-27b-it",
messages=[{"role": "user", "content": "Hello, Gemma 3.27B 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="google/gemma-3-27b-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"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
- model: gemma-3-27b-it
provider: google
weight: 80
fallbacks:
- model: deepseek-v3-2
provider: azure-ai-foundry
- model: gpt-4-1-2025-04-14
provider: azure-openai
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Compare with similar models
Grouped by Chatbot Arena tier (Gemma 3.27B It sits at 1366 ELO).
≥30 ELO higher
- Claude Fable 5Azure AI Foundry · $10.00/M in · $50.00/M out · 1,000,000 ctx
- Claude Opus 4.6Azure AI Foundry · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Claude Opus 4.6 (2026-02-05)Anthropic · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Qwen3.8 MaxAlibaba DashScope · $2.00/M in · $6.00/M out · 1,000,000 ctx
FAQ
How much does Gemma 3.27B It cost?
Public per-token pricing for Gemma 3.27B It is not yet published. Submit a source on this page to help us add it.
What is the context window of Gemma 3.27B It?
Gemma 3.27B It supports a 131,072-token context window with up to 8,192 output tokens.
Does Gemma 3.27B It support function calling?
Yes — Gemma 3.27B It supports function (tool) calling.
Is Gemma 3.27B It good for production?
Gemma 3.27B It is well-suited for agentic workflows that depend on reliable tool calls and document, chart, and screenshot understanding.
How can I route to Gemma 3.27B 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 Gemma 3.27B It
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Start here — vendor docs are the only authoritative spec.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.