Qwen Qwen3 Next 80B A3b Thinking

Together AI chat

Qwen Qwen3 Next 80B A3b Thinking 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 Thinking 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 Next 80B A3b Thinking 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
016,000
5,000
01,000,000
Per request
$0.001050
in $0.000450 · out $0.000600
Per day
$5.25
5,000 requests
Per month
$160
152,188 requests

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 Thinking yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Qwen Qwen3 Next 80B A3b Thinking 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 Next 80B A3b Thinking 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-thinking",
    messages=[{"role": "user", "content": "Hello, Qwen Qwen3 Next 80B A3b Thinking!"}],
)

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-thinking",
    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-next-80b-a3b-thinking is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
DeepInfra$0.140/M$1.40/MMay 12, 2026
Novita AI$0.150/M$1.50/MMay 12, 2026

Compare with similar models

Qwen Qwen3 Next 80B A3b Thinking 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 Thinking 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 Thinking?

Qwen Qwen3 Next 80B A3b Thinking supports a 262,144-token context window.

Does Qwen Qwen3 Next 80B A3b Thinking support function calling?

Yes — Qwen Qwen3 Next 80B A3b Thinking supports function (tool) calling, including parallel tool calls.

Is Qwen Qwen3 Next 80B A3b Thinking good for production?

Qwen Qwen3 Next 80B A3b Thinking 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 Thinking 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 Thinking

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