Qwen3.7 Plus

Alibaba DashScope chat

Qwen3.7 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.

Pricing source: unknown Last verified: Aug 6, 2026 View source ↗
Pricing not yet public

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.

Chatbot Arena ELOgeneral· overall↑1% vs peers
Captured Aug 8, 2026
Try it

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.

SDK
Native Future AGI client (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"))
Set 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).

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.