Qwen Qwen3.235b A22b Instruct 2507
Replicate chatQwen 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.
Estimate Qwen Qwen3.235b A22b Instruct 2507 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
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.
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.
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"))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.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Novita AI | $0.0900/M | $0.580/M | May 12, 2026 |
| DeepInfra | $0.0900/M | $0.600/M | May 12, 2026 |
| W&B Inference | $10,000/M | $10,000/M | May 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.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.