Qwen Qwen3 Coder 480B A35b Instruct Turbo

DeepInfra chat

Qwen Qwen3 Coder 480B A35b Instruct Turbo is a DeepInfra chat model.It supports a 262,144-token context windowwith up to 262,144 output tokens.Input is priced at $0.290/M tokens and output at $1.20/M tokens. Capabilities include function calling. Route Qwen Qwen3 Coder 480B A35b Instruct Turbo via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Qwen Qwen3 Coder 480B A35b Instruct Turbo spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0262,144
400
0200,000
5,000
01,000,000
Per request
$0.001350
in $0.000870 · out $0.000480
Per day
$6.75
5,000 requests
Per month
$205
152,188 requests

Estimate uses $0.2900/M input · $1.20/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input $0.290/M
Output $1.20/M

Limits

Context window
262,144 tokens
Max input
262,144 tokens
Max output
262,144 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 — not advertised

Where it's strong

  • +long-form generation — 262,144-token max output, top-1% 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 Qwen3 Coder 480B A35b Instruct Turbo yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Qwen Qwen3 Coder 480B A35b Instruct Turbo 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 Qwen3 Coder 480B A35b Instruct Turbo 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="deepinfra/qwen-qwen3-coder-480b-a35b-instruct-turbo",
    messages=[{"role": "user", "content": "Hello, Qwen Qwen3 Coder 480B A35b Instruct Turbo!"}],
)

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="deepinfra/qwen-qwen3-coder-480b-a35b-instruct-turbo",
    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 Qwen3 Coder 480B A35b Instruct Turbo 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 Qwen3 Coder 480B A35b Instruct Turbo cost?

Input is priced at $0.290 per 1M tokens and output at $1.20 per 1M tokens (DeepInfra, last verified May 12, 2026).

What is the context window of Qwen Qwen3 Coder 480B A35b Instruct Turbo?

Qwen Qwen3 Coder 480B A35b Instruct Turbo supports a 262,144-token context window with up to 262,144 output tokens.

Does Qwen Qwen3 Coder 480B A35b Instruct Turbo support function calling?

Yes — Qwen Qwen3 Coder 480B A35b Instruct Turbo supports function (tool) calling.

Is Qwen Qwen3 Coder 480B A35b Instruct Turbo good for production?

Qwen Qwen3 Coder 480B A35b Instruct Turbo is well-suited for long-form generation — 262,144-token max output, top-1% of peers. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.

How can I route to Qwen Qwen3 Coder 480B A35b Instruct Turbo 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 Qwen3 Coder 480B A35b Instruct Turbo

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