Gemma 4 26B A4B IT

W&B Inference chat

Gemma 4 26B A4B IT is a W&B Inference chat model.It supports a 262,000-token context window.Input is priced at $0.1000/M tokens and output at $0.300/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Gemma 4 26B A4B 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 4 26B A4B IT spend

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

~3K in / ~400 out · 5K req/day
3,000
0262,000
400
016,000
5,000
01,000,000
cached @ $0.0500/M
Per request
$0.000420
in $0.000300 · out $0.000120
Per day
$2.10
5,000 requests
Per month
$63.92
152,188 requests

Estimate uses $0.1000/M input · $0.3000/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 $0.1000/M
Output $0.300/M
Blended (3:1 in:out) $0.150/M
Cross-model comparable price
Cached input $0.0500/M

Context & limits

Context window
262,000 tokens
Max input
262,000 tokens
Max output
—
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 — not advertised
  • Prompt caching ✓ supported
  • Reasoning ✓ supported

Strengths & caveats — when to pick Gemma 4 26B A4B IT

Data-driven from Gemma 4 26B A4B IT's percentile within chat peers.

Where it's strong

  • +multi-step reasoning and analysis tasks
  • +agentic workflows that depend on reliable tool calls
  • +document, chart, and screenshot understanding
  • +repeated long-context prompts (caching saves up to 90% on input cost)

Watch out for

  • !high cost — input + output rates are in the top 84% of priced chat peers; consider a cheaper sibling for high-volume workloads
  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Gemma 4 26B A4B IT yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Gemma 4 26B A4B 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 4 26B A4B 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="wandb-inference/google-gemma-4-26b-a4b-it",
    messages=[{"role": "user", "content": "Hello, Gemma 4 26B A4B 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="wandb-inference/google-gemma-4-26b-a4b-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-4-26b-a4b-it is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Novita AI$0.130/M$0.400/MOct 22, 2026
DeepInfra$0.0700/M$0.340/MOct 22, 2026

Explore similar models

Gemma 4 26B A4B 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 4 26B A4B IT cost?

Input is priced at $0.1000 per 1M tokens and output at $0.300 per 1M tokens (W&B Inference, last verified Oct 22, 2026).

What is the context window of Gemma 4 26B A4B IT?

Gemma 4 26B A4B IT supports a 262,000-token context window.

Does Gemma 4 26B A4B IT support function calling?

Yes — Gemma 4 26B A4B IT supports function (tool) calling.

Is Gemma 4 26B A4B IT good for production?

Gemma 4 26B A4B IT is well-suited for multi-step reasoning and analysis tasks and agentic workflows that depend on reliable tool calls. Consider alternatives if you need high cost — input + output rates are in the top 84% of priced chat peers; consider a cheaper sibling for high-volume workloads.

How can I route to Gemma 4 26B A4B 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 4 26B A4B IT

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