- 1M context
- Multimodal
- Reasoning
- Responses API
Gemini 3.7 Flash on QuickSilver Pro
Gemini 3.7 Flash is Google's newest Flash model for production agents, coding, multimodal analysis, and long-context work. It accepts text and images across a 1M-token context and supports reasoning, streaming, tools, and structured output. Through December 31, 2026, QuickSilver Pro charges $0.6375 input / $3.1875 output per million tokens — 15% below Google's promotional API price.
- 1M context
- 66K max output
- Vision
- Tools
- Reasoning · on by default
- Streaming
- JSON Schema output
You pay · input / output per 1M
$0.6375 / $3.1875
15% lower
on both legs vs Google promotional price
Pricing comparison ($/1M tokens)
Bar length = price relative to the highest price shown
| Provider | Input | Output | vs QSP |
|---|---|---|---|
| QuickSilver Pro | $0.6375 | $3.1875 | lowest-cost |
| Google promotional price(Gemini API promotional rate) | $0.75 | $3.75 | 15% lower |
| OpenAI (GPT-4o) | $2.50 | $10.00 | 68% lower |
Google list source: ai.google.dev/gemini-api/docs/pricing
At a glance
- Context
- 1M tokens
- Input / 1M
- $0.6375
- Output / 1M
- $3.1875
- Thinks by default
- Yes
- Max output
- 66K
- Latency · live
- —
- AA Intelligence Index
- 45
Fast multimodal agents and coding with 1M context, at 15% below Google's 2026 promotional API price.
When is Gemini 3.7 Flash the right call?
Curated from catalog capabilities and published prices, not a benchmark.
When to use
Use Gemini 3.7 Flash for production agents, coding assistants, image understanding, document analysis, tool-calling workflows, and long prompts that benefit from a 1M-token context. It supports both Chat Completions and Responses through the same OpenAI-compatible QSP endpoint.
- Long documents and codebases, up to 1M tokens of context
- Agents that call tools, with strict JSON Schema output
- Prompts that include images
- Multi-step reasoning, on by default
When to use something else
For simple classification or extraction where cost matters more than reasoning quality, Gemini 3.5 Flash-Lite is cheaper. For text-only premium reasoning at a lower token price, evaluate DeepSeek V4 Pro. The current Gemini 3.7 Flash price is promotional through December 31, 2026, so budget-sensitive production workloads should review pricing before 2027.
- Output price matters mostGemini 3.5 Flash-Lite costs 0.667× this model’s output price and keeps the 1M context.Gemini 3.5 Flash-Lite $0.255 / $2.125 · 1M
- The task needs a stronger modelGemini 3.8 Flash scores 47 on the AA Intelligence Index (45 here), at 1× the output price.Gemini 3.8 Flash $0.6375 / $3.1875 · 1M
Quickstart (curl)
Get an API key →curl https://api.quicksilverpro.io/v1/chat/completions \
-H "Authorization: Bearer $QSP_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.7-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.quicksilverpro.io/v1",
api_key=os.environ["QSP_KEY"],
)
response = client.chat.completions.create(
model="gemini-3.7-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.quicksilverpro.io/v1",
apiKey: process.env.QSP_KEY,
});
const response = await client.chat.completions.create({
model: "gemini-3.7-flash",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.quicksilverpro.io/v1/responses \
-H "Authorization: Bearer $QSP_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.7-flash",
"input": "Hello!"
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.quicksilverpro.io/v1",
api_key=os.environ["QSP_KEY"],
)
response = client.chat.completions.create(
model="gemini-3.7-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)OpenAI-compatible. One-line migration via base_url.
Gateway behavior
Compatibility notes for this model.
prompt- Prompts up to 1M tokens.
max_tokens- Up to 66K output tokens.
- /v1/chat/completions: Supported
- /v1/responses: Supported
- streaming: Supported
- tools: Supported
- image input: Supported
- JSON Schema: Supported
- reasoning: Supported
Where the price comes from
- Provider reference
- $0.75 / $3.75ai.google.dev/gemini-api/docs/pricing
- Catalog verified
- Prompt cache · not compared
- $0.06375 read
usage.cost = prompt_tokens × $0.6375/1M + completion_tokens × $3.1875/1M
FAQ
Common questions
Through December 31, 2026, it costs $0.6375 per million input tokens and $3.1875 per million output tokens. Cached input is $0.06375 per million tokens. These rates are 15% below Google's promotional API prices; pricing will be reviewed before the promotion ends.
Yes. It accepts text and image input and supports streaming, reasoning, function calling, and JSON Schema structured output. Its maximum context is 1M tokens and its maximum output is 65,536 tokens.
Set base_url=https://api.quicksilverpro.io/v1, use your QSP API key, and set model="gemini-3.7-flash". Both /v1/chat/completions and /v1/responses are supported, including streaming and tool calls.
Yes. QuickSilver Pro continuously monitors the model and verified non-streaming Chat Completions, streaming Chat Completions, the Responses API, streaming Responses, and forced function calling against the production endpoint at launch.