Alibaba

Qwen3.6 35B-A3B — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCE
Input Cost
$0.10/1M
Output Cost
$0.90/1M
Context Window
262K
Max Output
66K
Accepts
text, image, video, audio

Qwen3.6 35B-A3B by Alibaba demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

AA Intelligence Index
18.843rd of 66

Artificial Analysis composite intelligence score across 10 sub-benchmarks

Artificial Analysis (via OpenRouter)

Coding Benchmarks

AA Coding Index
41.957th of 96

Artificial Analysis composite coding score

Artificial Analysis (via OpenRouter)

Reasoning Benchmarks

AA Agentic Index
1542nd of 70

Artificial Analysis composite score for multi-step tool-using tasks

Artificial Analysis (via OpenRouter)
GPQA Diamond
80.5%59th of 140

Graduate-level science Q&A by domain experts

Papers
τ²-Bench Airline
71.4%43rd of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)

Cost Benchmarks

Input Cost
$0.10114th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$0.90190th of 413

Cost per 1M output tokens

OpenRouter API
Cached Input Cost
$0.0544th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API

Context Benchmarks

Context Length
262K108th of 451

Maximum context window size

OpenRouter API

Available from 26 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 4 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
NaN$0$0—262K—
QVAC$0$0—262K—
Umans AI Coding Plan$0$0$0262K—
EmpirioLabs AI$0.07$0.42$0.035131K—
SaladCloud AI Gateway$0.09$0.6—262K—
Deep Infra$0.1$0.95—262KSupported
Kilo Gateway$0.1$0.9$0.05262K—
OpenRouter$0.1$0.9$0.05262KSupported
NanoGPT$0.112$0.8$0.056262K—
Pioneer$0.14$1$0.028262K—
AKI.IO$0.15$0.5—256K—
Hugging Face$0.15$0.95—262KSupported
Cortecs$0.167$0.557—262K—
Zenifra$0.19$0.48—262K—
SiliconFlow$0.2$1.6—262K—
Alibaba$0.248$1.485—262KSupported
DevPass (LLM Gateway)$0.248$1.485—262K—
LLM Gateway$0.248$1.485—262K—
Merge Gateway$0.248$1.485$0.0496262K—
OrcaRouter$0.248$1.485—262K—
Scaleway$0.25$1.5—128K—
Weights & Biases$0.25$1.25$0.25262K—
302.AI$0.283$1.705—262K—
GreenPT$0.342$2.052—262K—
evroc$0.345$1.38—262K—
LLMTR$5$10—16K—

Qwen3.6 35B-A3B — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

Qwen3.6 35B-A3B — Frequently Asked Questions

How much does Qwen3.6 35B-A3B cost?

Qwen3.6 35B-A3B costs $0.10 per 1M input tokens and $0.90 per 1M output tokens. This makes it one of the more affordable models.

What is the context window of Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B has a context window of 262K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Qwen3.6 35B-A3B?

Qwen3.6 35B-A3B was created by Alibaba. It is classified as a open source model in our catalogue.

Is Qwen3.6 35B-A3B open source?

Yes, Qwen3.6 35B-A3B is an open-source model. The model weights are publicly available for download and self-hosting.