Qwen Qwen3.235b A22b Instruct 2507

Replicate chat

Qwen Qwen3.235b A22b Instruct 2507 is a Replicate chat model.Input is priced at $0.264/M tokens and output at $1.06/M tokens. Capabilities include function calling. Route Qwen Qwen3.235b A22b Instruct 2507 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 Qwen3.235b A22b Instruct 2507 spend

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

~3K in / ~400 out · 5K req/day
3,000
0200,000
400
016,000
5,000
01,000,000
Per request
$0.001216
in $0.000792 · out $0.000424
Per day
$6.08
5,000 requests
Per month
$185
152,188 requests

Estimate uses $0.2640/M input · $1.06/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 $0.264/M
Output $1.06/M

Limits

Context window
Max input
Max output
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

  • +agentic workflows that depend on reliable tool calls

Watch out for

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

Benchmarks pending

We haven't logged public benchmark scores for Qwen Qwen3.235b A22b Instruct 2507 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Qwen Qwen3.235b A22b Instruct 2507 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 Qwen3.235b A22b Instruct 2507 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="replicate/qwen-qwen3-235b-a22b-instruct-2507",
    messages=[{"role": "user", "content": "Hello, Qwen Qwen3.235b A22b Instruct 2507!"}],
)

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="replicate/qwen-qwen3-235b-a22b-instruct-2507",
    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 ↗

Same model on other providers

qwen-qwen3-235b-a22b-instruct-2507 is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Novita AI$0.0900/M$0.580/MMay 12, 2026
DeepInfra$0.0900/M$0.600/MMay 12, 2026
W&B Inference$10,000/M$10,000/MMay 12, 2026

Compare with similar models

Qwen Qwen3.235b A22b Instruct 2507 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 Qwen3.235b A22b Instruct 2507 cost?

Input is priced at $0.264 per 1M tokens and output at $1.06 per 1M tokens (Replicate, last verified May 12, 2026).

What is the context window of Qwen Qwen3.235b A22b Instruct 2507?

Context window for Qwen Qwen3.235b A22b Instruct 2507 is not currently public.

Does Qwen Qwen3.235b A22b Instruct 2507 support function calling?

Yes — Qwen Qwen3.235b A22b Instruct 2507 supports function (tool) calling.

Is Qwen Qwen3.235b A22b Instruct 2507 good for production?

Qwen Qwen3.235b A22b Instruct 2507 is well-suited for agentic workflows that depend on reliable tool calls. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.

How can I route to Qwen Qwen3.235b A22b Instruct 2507 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 Qwen3.235b A22b Instruct 2507

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