Gemma 3 27B IT

Amazon Bedrock chat Deprecates in 146d (Mar 30, 2027)
Heads-up: Amazon Bedrock has scheduled Gemma 3 27B IT for deprecation on Mar 30, 2027. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

Gemma 3 27B IT is an Amazon Bedrock chat model.It supports a 128,000-token context windowwith up to 8,000 output tokens.Input is priced at $0.230/M tokens and output at $0.380/M 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.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate Gemma 3 27B IT spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0128,000
400
08,000
5,000
01,000,000
Per request
$0.000842
in $0.000690 · out $0.000152
Per day
$4.21
5,000 requests
Per month
$128
152,188 requests

Estimate uses $0.2300/M input · $0.3800/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input $0.230/M
Output $0.380/M
Blended (3:1 in:out) $0.267/M
Cross-model comparable price
Batch input $0.120/M
Batch output $0.190/M

Context & limits

Context window
128,000 tokens
Max input
128,000 tokens
Max output
8,000 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

  • !scheduled deprecation on Mar 30, 2027 (146 days)

Benchmarks pending

We haven't logged public benchmark scores for Gemma 3 27B IT yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

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.

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.
# 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="bedrock/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="bedrock/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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

google-gemma-3-27b-it is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
DeepInfra$0.0800/M$0.160/MOct 22, 2026
Nebius$0.1000/M$0.300/MOct 22, 2026
Novita AI$0.119/M$0.200/MOct 22, 2026

Explore similar models

Gemma 3 27B IT doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does Gemma 3 27B IT cost?

Input is priced at $0.230 per 1M tokens and output at $0.380 per 1M tokens (Amazon Bedrock, last verified Oct 22, 2026).

What is the context window of Gemma 3 27B IT?

Gemma 3 27B IT supports a 128,000-token context window with up to 8,000 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. Consider alternatives if you need scheduled deprecation on Mar 30, 2027 (146 days).

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.