Qwen-Plus (2025-07-28)

Alibaba DashScope chat

Qwen-Plus (2025-07-28) is an Alibaba DashScope chat model.It supports a 997,952-token context windowwith up to 32,768 output tokens. Capabilities include function calling, reasoning. Route Qwen-Plus (2025-07-28) via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Qwen-Plus (2025-07-28) 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 May 12, 2026.

Input
Output

Limits

Context window
997,952 tokens
Max input
997,952 tokens
Max output
32,768 tokens
Modalities
text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning ✓ supported

Where it's strong

  • +long-context tasks — context window in the top 13% of peers

Watch out for

  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Qwen-Plus (2025-07-28) yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Qwen-Plus (2025-07-28) 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.
# Qwen-Plus (2025-07-28) 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/qwen-plus-2025-07-28",
    messages=[{"role": "user", "content": "Hello, Qwen-Plus (2025-07-28)!"}],
)

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/qwen-plus-2025-07-28",
    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 ↗

Compare with similar models

Qwen-Plus (2025-07-28) doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Qwen-Plus (2025-07-28) cost?

Public per-token pricing for Qwen-Plus (2025-07-28) is not yet published. Submit a source on this page to help us add it.

What is the context window of Qwen-Plus (2025-07-28)?

Qwen-Plus (2025-07-28) supports a 997,952-token context window with up to 32,768 output tokens.

Does Qwen-Plus (2025-07-28) support function calling?

Yes — Qwen-Plus (2025-07-28) supports function (tool) calling.

Is Qwen-Plus (2025-07-28) good for production?

Qwen-Plus (2025-07-28) is well-suited for long-context tasks — context window in the top 13% of peers. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.

How can I route to Qwen-Plus (2025-07-28) 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 Qwen-Plus (2025-07-28)

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.