Qwen Qwen3 Next 80B A3b Instruct
Together AI chatQwen Qwen3 Next 80B A3b Instruct is a Together AI chat model.It supports a 262,144-token context window.Input is priced at $0.150/M tokens and output at $1.50/M tokens. Capabilities include function calling. Route Qwen 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 Qwen Qwen3 Next 80B A3b Instruct spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.1500/M input · $1.50/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 | $0.150/M | |
| Output | $1.50/M |
Limits
- Context window
- 262,144 tokens
- Max input
- 262,144 tokens
- Max output
- —
- Modalities
- text
Capabilities
- Function calling ✓ supported
- Parallel tool calls ✓ supported
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +parallel tool calls — only 21% of chat models on Future AGI advertise this
Watch out for
- No major caveats flagged from public spec.
Benchmarks pending
We haven't logged public benchmark scores for Qwen Qwen3 Next 80B A3b Instruct yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Qwen 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.# Qwen 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="together-ai/qwen-qwen3-next-80b-a3b-instruct",
messages=[{"role": "user", "content": "Hello, Qwen 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="together-ai/qwen-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 ↗Same model on other providers
qwen-qwen3-next-80b-a3b-instruct is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
Compare with similar models
Qwen 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.
FAQ
How much does Qwen Qwen3 Next 80B A3b Instruct cost?
Input is priced at $0.150 per 1M tokens and output at $1.50 per 1M tokens (Together AI, last verified May 12, 2026).
What is the context window of Qwen Qwen3 Next 80B A3b Instruct?
Qwen Qwen3 Next 80B A3b Instruct supports a 262,144-token context window.
Does Qwen Qwen3 Next 80B A3b Instruct support function calling?
Yes — Qwen Qwen3 Next 80B A3b Instruct supports function (tool) calling, including parallel tool calls.
Is Qwen Qwen3 Next 80B A3b Instruct good for production?
Qwen Qwen3 Next 80B A3b Instruct is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this.
How can I route to Qwen 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 Qwen 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.