Gemini 2.0 Flash Lite
Google AI chat Deprecates in 19d (Jun 1, 2026)model fallback routing to swap models without code changes.
Gemini 2.0 Flash Lite 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 2.0 Flash Lite via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Gemini 2.0 Flash Lite 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 12, 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, audio_out, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output ✓ supported
- 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
- +audio output — only 3% of chat models on Future AGI advertise this
- +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
- !scheduled deprecation on Jun 1, 2026 (19 days)
Benchmarks pending
We haven't logged public benchmark scores for Gemini 2.0 Flash Lite yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Gemini 2.0 Flash Lite 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 2.0 Flash Lite 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-2-0-flash-lite",
messages=[{"role": "user", "content": "Hello, Gemini 2.0 Flash Lite!"}],
)
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-2-0-flash-lite",
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-2-0-flash-lite 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 12, 2026 |
Compare with similar models
Gemini 2.0 Flash Lite 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 2.0 Flash Lite cost?
Input is priced at $0.0750 per 1M tokens and output at $0.300 per 1M tokens (Google AI, last verified May 12, 2026).
What is the context window of Gemini 2.0 Flash Lite?
Gemini 2.0 Flash Lite supports a 1,048,576-token context window with up to 8,192 output tokens.
Does Gemini 2.0 Flash Lite support function calling?
Yes — Gemini 2.0 Flash Lite supports function (tool) calling.
Is Gemini 2.0 Flash Lite good for production?
Gemini 2.0 Flash Lite is well-suited for long-context tasks — context window in the top 2% of peers and audio output — only 3% 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 2.0 Flash Lite 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 2.0 Flash Lite
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.