Gemini 1.5 Flash 8B

Google AI chat Deprecated 401d ago
Heads-up: Google AI has scheduled Gemini 1.5 Flash 8B for deprecation on Sep 29, 2025. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

Gemini 1.5 Flash 8B is a Google AI chat model.It supports a 1,048,576-token context windowwith up to 8,192 output tokens. Capabilities include function calling, vision, prompt caching. Route Gemini 1.5 Flash 8B 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 7, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Gemini 1.5 Flash 8B 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 May 7, 2026.

Input —
Output —

Context & limits

Context window
1,048,576 tokens
Max input
1,048,576 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 ✓ supported
  • Reasoning — not advertised

Strengths & caveats — when to pick Gemini 1.5 Flash 8B

Data-driven from Gemini 1.5 Flash 8B's percentile within chat peers.

Where it's strong

  • +long-context tasks — context window in the top 2% of peers

Watch out for

  • !already deprecated — provider stopped accepting new traffic 401 days ago

Benchmark scores

Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.

Arena ELO (coding)code· style control↓12% vs peers
Captured Oct 20, 2026
Chatbot Arena ELOgeneral· style control↓9% vs peers
Captured Oct 20, 2026
Captured Oct 19, 2026
Try it

Call Gemini 1.5 Flash 8B 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.
# Gemini 1.5 Flash 8B 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/gemini-1-5-flash-8b",
    messages=[{"role": "user", "content": "Hello, Gemini 1.5 Flash 8B!"}],
)

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/gemini-1-5-flash-8b",
    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 ↗
Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
  - model: gemini-1-5-flash-8b
    provider: google
    weight: 80
fallbacks:
  - model: gpt-4o-mini
    provider: azure-openai
  - model: gpt-4o-mini-2024-07-18
    provider: azure-openai
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Explore similar models

Grouped by Chatbot Arena tier (Gemini 1.5 Flash 8B sits at 1259 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does Gemini 1.5 Flash 8B cost?

Public per-token pricing for Gemini 1.5 Flash 8B is not yet published. Submit a source on this page to help us add it.

What is the context window of Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B supports a 1,048,576-token context window with up to 8,192 output tokens.

Does Gemini 1.5 Flash 8B support function calling?

Yes — Gemini 1.5 Flash 8B supports function (tool) calling.

Is Gemini 1.5 Flash 8B good for production?

Gemini 1.5 Flash 8B is well-suited for long-context tasks — context window in the top 2% of peers. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 401 days ago.

How can I route to Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B

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