Qwen3 Next 80B A3B Instruct
Databricks chatQwen3 Next 80B A3B Instruct is a Databricks chat model.Input is priced at $0.150/M tokens and output at $1.20/M tokens. Capabilities include function calling. Route Qwen3 Next 80B A3B Instruct via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Qwen3 Next 80B A3B Instruct spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.1500/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 Oct 22, 2026.
| Input | $0.150/M | |
| Output | $1.20/M | |
| Blended (3:1 in:out) | $0.413/M Cross-model comparable price | |
| Cached input | $0.150/M |
Context & 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
Strengths & caveats — when to pick Qwen3 Next 80B A3B Instruct
Data-driven from Qwen3 Next 80B A3B Instruct's percentile within chat peers.
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 Qwen3 Next 80B A3B Instruct yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Qwen3 Next 80B A3B Instruct 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.# Qwen3 Next 80B A3B Instruct 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="databricks/databricks-qwen3-next-80b-a3b-instruct",
messages=[{"role": "user", "content": "Hello, Qwen3 Next 80B A3B Instruct!"}],
)
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="databricks/databricks-qwen3-next-80b-a3b-instruct",
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 ↗Explore similar models
Qwen3 Next 80B A3B Instruct doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
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FAQ
How much does Qwen3 Next 80B A3B Instruct cost?
Input is priced at $0.150 per 1M tokens and output at $1.20 per 1M tokens (Databricks, last verified Oct 22, 2026).
What is the context window of Qwen3 Next 80B A3B Instruct?
Context window for Qwen3 Next 80B A3B Instruct is not currently public.
Does Qwen3 Next 80B A3B Instruct support function calling?
Yes — Qwen3 Next 80B A3B Instruct supports function (tool) calling.
Is Qwen3 Next 80B A3B Instruct good for production?
Qwen3 Next 80B A3B Instruct 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 Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct
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.