Skip to content

Qwen: Qwen3 Next 80B A3B Thinking provider comparison

qwen/qwen3-next-80b-a3b-thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

Endpoints:
2
Context:
262.1K
Input:
text
Output:
text
Compare this model in a set →

At a glance

Comparison winners

Based on 1,000 input and 500 output tokens using the latest published median speed data.

Best cost/speed trade-off

$0.325 / 1M tokens

3.55 s estimated response

Visual comparison

Price and performance charts

Compare published endpoint pricing and estimated response time visually.

Effective price by endpoint

USD per 1 million tokens for input and output. Lower is better.

Alibaba Cloud Int. has the lowest estimated cost for 1,000 input and 500 output tokens at $0.0004875.

Estimated cost vs. response time

Based on 1,000 input and 500 output tokens. Cost is shown in USD per 1 million tokens. Lower and further left is better; the single best cost/speed trade-off appears at full opacity.

2 providers have complete pricing and speed data. Alibaba Cloud Int. is closest to the ideal combination of lowest cost and fastest response.

Server-rendered comparison

Provider endpoints

Prompt and completion prices are effective USD per token as published by OpenRouter. Missing speed data never removes an endpoint.

Endpoint comparison for Qwen: Qwen3 Next 80B A3B Thinking
Provider / routeCurrent pricing ↗Speed measurementsEndpoint details
Provider / route
Alibaba Cloud Int.alibaba
CheapestFastestBest cost/speed trade-off
Current pricing
Input price
$0.0975 / 1M tokens
Output price
$0.78 / 1M tokens
Sample cost
$0.0004875
Discount
35.0%
Speed measurements
500-token response
3.55 s
Response starts
0.48 s
Output speed
163.0 tok/s
Endpoint details
Uptime (30 min)
Insufficient recent data
Context
131.1K
Model format
unknown
Max output
32.8K
10 parameters

include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, temperature, tool_choice, tools, top_p

Provider / route
Google Vertexgoogle-vertex/global
Current pricing
Input price
$0.15 / 1M tokens
Output price
$1.2 / 1M tokens
Sample cost
$0.00075
Speed measurements
500-token response
4.10 s
Response starts
0.41 s
Output speed
135.5 tok/s
Endpoint details
Uptime (30 min)
Insufficient recent data
Context
262.1K
Model format
unknown
Max output
262.1K
17 parameters

frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Endpoint data fetched .

Qwen3 Next 80B A3B Thinking deployment guide

How to choose a Qwen3 Next 80B A3B Thinking inference provider

Qwen3 Next 80B A3B Thinking is indexed here as a text model by Qwen, with 2 provider endpoints from Alibaba Cloud Int., Google Vertex. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.

Match the endpoint to the workload

The model publishes a 262.1K-token context window. It accepts text input and returns text output. 17 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.

Compare the real request economics

Alibaba Cloud Int. currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.0004875. Input-heavy and output-heavy applications can produce a different result, so review both per-million-token prices in the endpoint table.

Balance response start and generation speed

Alibaba Cloud Int. currently has the shortest estimated 500-token response at 3.55 seconds. Alibaba Cloud Int. is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.