Gemini 1.5 Flash 001
Google AI chat Deprecated 354d agomodel fallback routing to swap models without code changes.
Gemini 1.5 Flash 001 is a Google AI chat model.It supports a 1,048,576-token context windowwith up to 8,192 output tokens.Input is priced at $0.0750/M tokens and output at $0.300/M tokens. Capabilities include function calling, vision, prompt caching. Route Gemini 1.5 Flash 001 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Gemini 1.5 Flash 001 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.0750/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 May 7, 2026.
| Input | $0.0750/M | |
| Output | $0.300/M | |
| Cached input | $0.0188/M |
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
Where it's strong
- +long-context tasks — context window in the top 2% of peers
- +prompt caching — only 23% of chat models on Future AGI advertise this
Watch out for
- !high cost — input + output rates are in the top 87% of priced chat peers; consider a cheaper sibling for high-volume workloads
- !already deprecated — provider stopped accepting new traffic 354 days ago
Benchmark scores
Reported public benchmark numbers. Each row links to the source.
Call Gemini 1.5 Flash 001 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.# Gemini 1.5 Flash 001 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-001",
messages=[{"role": "user", "content": "Hello, Gemini 1.5 Flash 001!"}],
)
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-001",
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 ↗Same model on other providers
gemini-1-5-flash-001 is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Google Vertex AI | $0.0750/M | $0.300/M | May 7, 2026 |
Compare with similar models
Gemini 1.5 Flash 001 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
FAQ
How much does Gemini 1.5 Flash 001 cost?
Input is priced at $0.0750 per 1M tokens and output at $0.300 per 1M tokens (Google AI, last verified May 7, 2026).
What is the context window of Gemini 1.5 Flash 001?
Gemini 1.5 Flash 001 supports a 1,048,576-token context window with up to 8,192 output tokens.
Does Gemini 1.5 Flash 001 support function calling?
Yes — Gemini 1.5 Flash 001 supports function (tool) calling.
Is Gemini 1.5 Flash 001 good for production?
Gemini 1.5 Flash 001 is well-suited for long-context tasks — context window in the top 2% of peers and prompt caching — only 23% of chat models on Future AGI advertise this. Consider alternatives if you need high cost — input + output rates are in the top 87% of priced chat peers; consider a cheaper sibling for high-volume workloads.
How can I route to Gemini 1.5 Flash 001 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 001
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.