Last refreshed 2026-06-29. Next refresh: weekly.
Why use Gemini 2.5 Flash on Vercel AI Gateway?
Vercel AI Gateway offers Gemini 2.5 Flash with pay-as-you-go pricing at $0.30/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Gemini 2.5 Flash across 6 providers to find the best fit for your use caseInput / 1M
$0.30
Output / 1M
$2.50
Cache
read $0.030
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
google/gemini-2.5-flashRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="google/gemini-2.5-flash",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "google/gemini-2.5-flash", not the LLMReference slug "gemini-2.5-flash".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Gemini 2.5 Flash Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $0.30 | $2.50 |
| GCP Vertex AI | $0.30 | $2.50 |
| Replicate API | $0.30 | $2.50 |
| OpenRouter | $0.30 | $2.50 |
| Vercel AI Gateway | $0.30 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.30 |
| Output tokens | $2.50 |
| Query | $35.00 |
Capabilities
VisionMultimodalJSON / Tool useStructured OutputsCode Execution
About Gemini 2.5 Flash
Google: Gemini 2.5 Flash available via OpenRouter. Pricing: $0.3/1M input, $2.5/1M output.
Get Started
Model Specs
Released2025-06-17
Context1m
ArchitectureDecoder Only
Knowledge cutoff2025-01