- 1M context
- Multimodal
- Responses API
Qwen3.7 Plus on QuickSilver Pro
Qwen 3.7 Plus is Alibaba's hosted agent flagship for long-running coding and agent loops, with text, image, and video input over a 1M-token context. On QuickSilver Pro it's $0.256 input / $1.024 output per 1M tokens, 20% below OpenRouter's $0.32 / $1.28 and roughly a quarter of Qwen 3.7 Max's output price.
- 1M context
- Vision
- Tools
- Streaming
- JSON Schema output
You pay · input / output per 1M
$0.256 / $1.024
20% lower
on both legs vs OpenRouter
Pricing comparison ($/1M tokens)
Bar length = price relative to the highest price shown
| Provider | Input | Output | vs QSP |
|---|---|---|---|
| QuickSilver Pro | $0.256 | $1.024 | lowest-cost |
| OpenRouter(qwen/qwen3.7-plus) | $0.32 | $1.28 | 20% lower |
| OpenAI (GPT-4o) | $2.50 | $10.00 | 90% lower |
OpenRouter list source: openrouter.ai/qwen/qwen3.7-plus
At a glance
- Context
- 1M tokens
- Input / 1M
- $0.256
- Output / 1M
- $1.024
- Thinks by default
- No
- Latency · live
- —
Long-running coding/agent loops — near-flagship reasoning at ~6× lower output cost than 3.7 Max.
When is Qwen3.7 Plus the right call?
Curated from catalog capabilities and published prices, not a benchmark.
When to use
Reach for 3.7 Plus on agentic and coding workloads that run long: multi-hour agent sessions, coding agents that loop across hundreds of tool calls, multimodal document work, and long-context analysis up to 1M tokens. QuickSilver Pro serves it in non-thinking mode: replies are direct, and a reasoning field in the request does not turn thinking on.
- Long documents and codebases, up to 1M tokens of context
- Agents that call tools, with strict JSON Schema output
- Prompts that include images
- Responses API clients as well as Chat Completions
When to use something else
For the hardest single-shot reasoning, Qwen 3.7 Max is the step up — both now expose a 1M context, so choose Max for quality rather than window size. For low-cost multimodal chat and agents, Qwen 3.7 Flash is far lower. For pure math / theorem-style reasoning, DeepSeek V4 Pro remains the lower-cost specialist.
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": "qwen3.7-plus",
"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="qwen3.7-plus",
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: "qwen3.7-plus",
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": "qwen3.7-plus",
"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="qwen3.7-plus",
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.
- /v1/chat/completions: Supported
- /v1/responses: Supported
- streaming: Supported
- tools: Supported
- image input: Supported
- JSON Schema: Supported
- reasoning: Not listed for this model
Where the price comes from
- Provider reference
- $0.32 / $1.28openrouter.ai/qwen/qwen3.7-plus
- Catalog verified
- Prompt cache · not compared
- $0.0512 read · $0.32 5m write
usage.cost = prompt_tokens × $0.256/1M + completion_tokens × $1.024/1M
FAQ
Common questions
No. QuickSilver Pro serves 3.7 Plus in non-thinking mode, so calls return a direct answer without billing a hidden reasoning trace. A reasoning field in the request does not turn thinking on; if a task needs a reasoning trace, use Qwen 3.7 Max with enable_thinking=true.
Both expose a 1M-token context. Max is the $1.25/$3.75 flagship for the hardest reasoning; Plus is the $0.256/$1.024 production agent model, about 3.7× lower on output. Start with Plus for long-running loops and step up to Max only where your evals show a quality gain.
That's what it's tuned for. Alibaba positions 3.7 Plus for long-horizon agent loops — the launch demo was an 11-hour autonomous coding session — and it speaks the OpenAI-compatible chat/tools API, so it drops into opencode, Cline, Aider, or any agent that expects OpenAI tool-calling shapes. Point the agent at base_url=https://api.quicksilverpro.io/v1 with model="qwen3.7-plus". Run it against your own task suite — vendor benchmarks are a starting point, not a guarantee.
OpenRouter lists Qwen 3.7 Plus at $0.32 input / $1.28 output per 1M tokens; QuickSilver Pro is $0.256 / $1.024 — ~20% below on both legs. Same OpenAI-compatible chat completions surface; migration is a base_url + key swap, with the model ID changing from qwen/qwen3.7-plus to QSP's alias qwen3.7-plus.