Gemini 2.0 Flash exp Image Generation
Google AI image generationGemini 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 May 12, 2026.
| Input | — | |
| Output | — | |
| Per image | $0.0390 |
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
Where it's strong
- +long-form generation — 32,768-token max output, top-11% of peers
- +vision — only 15% of image generation models on Future AGI advertise this
Watch out for
- No major caveats flagged from public spec.
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 ↗Compare with 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.
- Gemini 2.5 Flash ImageGoogle AI · $0.300/M in · $2.50/M out · 32,768 ctx
- Deep Research Pro preview 12.2025Google AI · $2.00/M in · $12.00/M out · 65,536 ctx
- Gemini 3.1 Flash Image previewGoogle AI · $0.250/M in · $1.50/M out · 65,536 ctx
- Gemini 3 Pro Image previewGoogle AI · $2.00/M in · $12.00/M out · 65,536 ctx
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 May 12, 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 and vision — only 15% of image generation models on Future AGI advertise this.
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.