Gemini 2.0 Flash exp Image Generation
Google AI image generation Deprecated 355d agomodel fallback routing to swap models without code changes.
Gemini 2.0 Flash exp Image Generation is a Google AI image generation model.It supports a 32,768-token context windowwith up to 32,768 output tokens. Capabilities include vision. Route Gemini 2.0 Flash exp Image Generation via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Gemini 2.0 Flash exp Image Generation spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.000000/M input · $0.000000/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 | — | |
| Output | — | |
| Per image | $0.0390 |
Context & limits
- Context window
- 32,768 tokens
- Max input
- 32,768 tokens
- Max output
- 32,768 tokens
- Modalities
- vision, image, text
Capabilities
- Function calling — not advertised
- 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 — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Gemini 2.0 Flash exp Image Generation
Data-driven from Gemini 2.0 Flash exp Image Generation's percentile within image generation peers.
Where it's strong
- +long-form generation — 32,768-token max output, top-11% of peers
Watch out for
- !already deprecated — provider stopped accepting new traffic 355 days ago
Benchmarks pending
We haven't logged public benchmark scores for Gemini 2.0 Flash exp Image Generation yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Gemini 2.0 Flash exp Image Generation 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 exp Image Generation 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-exp-image-generation",
messages=[{"role": "user", "content": "Hello, Gemini 2.0 Flash exp Image Generation!"}],
)
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-exp-image-generation",
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 ↗Explore similar models
Gemini 2.0 Flash exp Image Generation 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.
- Gemini 3.1 Flash ImageGoogle AI · $0.500/M in · $3.00/M out · 131,072 ctxView model →
- Gemini nano Banana 2.1Google AI · $1.50/M in · $7.50/M out · 131,072 ctxView model →
- Gemini 3.1 Flash Lite ImageGoogle AI · $0.250/M in · $1.50/M out · 65,536 ctxView model →
- Gemini 3 Pro ImageGoogle AI · $2.00/M in · $12.00/M out · 65,536 ctxView model →
FAQ
How much does Gemini 2.0 Flash exp Image Generation cost?
Input is priced at $0.000000 per 1M tokens and output at $0.000000 per 1M tokens (Google AI, last verified Oct 22, 2026).
What is the context window of Gemini 2.0 Flash exp Image Generation?
Gemini 2.0 Flash exp Image Generation supports a 32,768-token context window with up to 32,768 output tokens.
Does Gemini 2.0 Flash exp Image Generation support function calling?
Gemini 2.0 Flash exp Image Generation does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.
Is Gemini 2.0 Flash exp Image Generation good for production?
Gemini 2.0 Flash exp Image Generation is well-suited for long-form generation — 32,768-token max output, top-11% of peers. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 355 days ago.
How can I route to Gemini 2.0 Flash exp Image Generation 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 exp Image Generation
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.