Gemini 2.0 Flash Lite

Google AI chat Deprecated 156d ago
Heads-up: Google AI has scheduled Gemini 2.0 Flash Lite for deprecation on Jun 1, 2026. Plan a migration. Use Agent Command Center's 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.

Pricing source: litellm Last verified: Aug 6, 2026 View source ↗
Cost calculator

Estimate Gemini 2.0 Flash Lite spend

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

~3K in / ~400 out · 5K req/day
3,000
01,048,576
400
08,192
5,000
01,000,000
cached @ $0.0188/M
Per request
$0.000345
in $0.000225 · out $0.000120
Per day
$1.72
5,000 requests
Per month
$52.50
152,188 requests

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 Aug 6, 2026.

Input $0.0750/M
Output $0.300/M
Blended (3:1 in:out) $0.131/M
Cross-model comparable price
Cached input $0.0188/M

Context & 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

Strengths & caveats — when to pick Gemini 2.0 Flash Lite

Data-driven from Gemini 2.0 Flash Lite's percentile within chat peers.

Where it's strong

  • +long-context tasks — context window in the top 2% of peers
  • +audio output — only 1% of chat models on Future AGI advertise this

Watch out for

  • !high cost — input + output rates are in the top 89% of priced chat peers; consider a cheaper sibling for high-volume workloads
  • !already deprecated — provider stopped accepting new traffic 156 days ago

Benchmark scores

Reported public benchmark numbers. Each row links to the source.

Captured Oct 20, 2026
Captured Oct 20, 2026
Captured Oct 19, 2026
Try it

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.

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 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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗
Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
  - model: gemini-2-0-flash-lite
    provider: google
    weight: 80
fallbacks:
  - model: claude-opus-4-20250514
    provider: vertex-ai
  - model: grok-4
    provider: azure-ai-foundry
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

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.

ProviderInput / 1MOutput / 1MVerified
Google Vertex AI$0.0750/M$0.300/MOct 22, 2026

Explore similar models

Grouped by Chatbot Arena tier (Gemini 2.0 Flash Lite sits at 1354 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

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 Aug 6, 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 1% of chat models on Future AGI advertise this. Consider alternatives if you need high cost — input + output rates are in the top 89% 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.