Qwen3.7 Plus
Alibaba DashScope chatQwen3.7 Plus is an Alibaba DashScope chat model.It supports a 991,808-token context windowwith up to 65,536 output tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Qwen3.7 Plus via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
We don't have verified per-token pricing for Qwen3.7 Plus yet. If you have a source from Alibaba DashScope's documentation, help us add it — your submission gets reviewed within 48 hours.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Aug 6, 2026.
| Input | — | |
| Output | — |
Context & limits
- Context window
- 991,808 tokens
- Max input
- 991,808 tokens
- Max output
- 65,536 tokens
- Modalities
- vision, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input ✓ supported
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching ✓ supported
- Reasoning ✓ supported
Strengths & caveats — when to pick Qwen3.7 Plus
Data-driven from Qwen3.7 Plus's percentile within chat peers.
Where it's strong
- +multi-step reasoning and analysis tasks
- +agentic workflows that depend on reliable tool calls
- +document, chart, and screenshot understanding
- +repeated long-context prompts (caching saves up to 90% on input cost)
Watch out for
- No major caveats flagged from public spec.
Benchmark scores
Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.
Call Qwen3.7 Plus 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.# Qwen3.7 Plus 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="dashscope/qwen3-7-plus",
messages=[{"role": "user", "content": "Hello, Qwen3.7 Plus!"}],
)
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="dashscope/qwen3-7-plus",
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 ↗Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
- model: qwen3-7-plus
provider: dashscope
weight: 80
fallbacks:
- model: claude-fable-5
provider: azure-ai-foundry
- model: claude-opus-4-6
provider: azure-ai-foundry
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true } Compare with similar models
Grouped by Chatbot Arena tier (Qwen3.7 Plus sits at 1459 ELO).
- Qwen-Plus (2025-07-14)Alibaba DashScope · $0.400/M in · $1.20/M out · 129,024 ctx
- Qwen-Turbo (2025-04-28)Alibaba DashScope · $0.0500/M in · $0.200/M out · 1,000,000 ctx
- Qwen3.7 MaxAlibaba DashScope · $2.50/M in · $7.50/M out · 991,808 ctx
- Qwen3.8 MaxAlibaba DashScope · $2.00/M in · $6.00/M out · 1,000,000 ctx
- Claude Fable 5Azure AI Foundry · $10.00/M in · $50.00/M out · 1,000,000 ctx
- Claude Opus 4.6Azure AI Foundry · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Claude Opus 4.6 (2026-02-05)Anthropic · $5.00/M in · $25.00/M out · 1,000,000 ctx
- Gemini 3.1 Pro previewGoogle AI · $2.00/M in · $12.00/M out · 1,048,576 ctx
≥30 ELO higher
FAQ
How much does Qwen3.7 Plus cost?
Public per-token pricing for Qwen3.7 Plus is not yet published. Submit a source on this page to help us add it.
What is the context window of Qwen3.7 Plus?
Qwen3.7 Plus supports a 991,808-token context window with up to 65,536 output tokens.
Does Qwen3.7 Plus support function calling?
Yes — Qwen3.7 Plus supports function (tool) calling.
Is Qwen3.7 Plus good for production?
Qwen3.7 Plus is well-suited for multi-step reasoning and analysis tasks and agentic workflows that depend on reliable tool calls.
How can I route to Qwen3.7 Plus 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 Qwen3.7 Plus
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Start here — vendor docs are the only authoritative spec.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.