score
Qwen3.6 Max Preview scores 40 (estimated) on the Artificial Analysis Intelligence Index, placing it …
vs class avg: 28
Intelligence, Performance & Price Analysis
score
Qwen3.6 Max Preview scores 40 (estimated) on the Artificial Analysis Intelligence Index, placing it …
vs class avg: 28
output tokens/sec
Qwen3.6 Max Preview generates output at 45.1 tokens per second (based on Alibaba's API), which is …
TTFT
Qwen3.6 Max Preview has a time to first token (TTFT) of 3.38s (based on Alibaba's API), which is …
/ 1M tokens
Qwen3.6 Max Preview costs $1.30 per 1M input tokens (better than average, median: $1.50) and $7. …
/ 1M tokens
Qwen3.6 Max Preview costs $1.30 per 1M input tokens (better than average, median: $1.50) and $7. …
Ethen's intelligence-driven routing assessment for this model
Overall verdict
Frontier research / complex reasoning
Reserve this model for the hardest requests; simpler or repetitive work should stay on cheaper routes.
Routing recommendation
Lower-cost models for repetitive or high-volume work
Cache-backed reuse for repeated prompts
Cost pressure
Premium pricing — $1.30 / M input, $7.80 / M output. Use cheaper routes for repetitive or low-risk work.
Use this model where capability pays for itself; route away where volume, latency, or budget dominate.
| Use case | Fit | Reason | Routing note |
|---|---|---|---|
| Complex reasoning & agentic workflows | Excellent | Intelligence score 40 places this model among top performers. Suitable for multi-step analysis and agentic loops. | Route complex tasks here; reserve simpler queries for cheaper models. |
| High-volume chat & customer-facing | Moderate | Output speed may be a bottleneck for real-time chat at scale. | Consider a faster model for latency-sensitive chat. |
| Latency-sensitive applications | Moderate | TTFT 3.38s — latency may be noticeable in interactive use. | Consider routing latency-critical paths to faster models. |
| Cost-sensitive pipelines | Moderate | Output pricing at $7.80 is premium. Route high-volume simple tasks to cheaper alternatives. | Use only for high-value tasks; route simple queries to budget models. |
Cost pressure
HighPricing is premium — input $1.30, output $7.80. This model is expensive for high-volume or output-heavy workloads.
Key benchmark results at a glance.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Qwen3.6 Max Preview scores 40 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28).
Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Qwen3.6 Max Preview generates output at 45.1 tokens per second (based on Alibaba's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 81.2 t/s).
Context, Cost & Pricing
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Pricing is premium — input $1.30, output $7.80. This model is expensive for high-volume or output-heavy workloads.
Benchmark scores and quality indices measuring model capability.
AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Output tokens per second and generation throughput.
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Time to first token and end-to-end response latency.
Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Context window size, cost per task, and token pricing.
Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
Qwen3.6 Max Preview scores 40 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28). Qwen3.6 Max Preview generates output at 45.1 tokens per second (based on Alibaba's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 81.2 t/s). Qwen3.6 Max Preview costs $1.30 per 1M input tokens (better than average, median: $1.50) and $7.80 per 1M output tokens (better than average, median: $8.40), based on Alibaba's API.
This page is rendered from the normalized profile and page JSON for Qwen3.6 Max Preview.
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.