Alibaba

Qwen3.5 9B (Reasoning)

AI model by Alibaba. Real-time pricing and benchmark data.

Pricing (per 1M tokens)

Input$0.14
Output$0.20
Blended (3:1)$0.15

Source: Artificial Analysis

Performance

Output Speed81 tok/s
Time to First Token2070ms

Median values from Artificial Analysis

Editorial Analysis

Profile. Qwen3.5 9B (Reasoning) is a budget-tier option from Alibaba at $0.20/M output tokens. Despite the low price, it scores competitively on Coding Index (28.7) and Intelligence Index (21.8) — making it a candidate for high-volume production workloads where unit cost dominates.

Latency. On latency, Qwen3.5 9B (Reasoning) reports 81 tok/s output speed and 2070ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.

Cost model. For a workload of 1M input tokens + 100K output tokens, Qwen3.5 9B (Reasoning) costs $0.16 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.

Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.

Compare with similar models

ModelInputOutputSpeed
Qwen3.5 9B (Reasoning)Current
$0.14$0.2081 tok/s
gpt-oss-20b (low)
$0.07$0.20170 tok/s
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning)
$0.05$0.20225 tok/s
NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
$0.05$0.20168 tok/s
Ministral 3 14B
$0.20$0.2085 tok/s
NVIDIA Nemotron 3 Nano 30B A3B (Reasoning)
$0.05$0.20261 tok/s

Example Costs

Single Request
$0.0002
1.0K in / 500 out
1K Requests/day
$0.2400
1.0M in / 500.0K out
10K Requests/day
$2.40
10.0M in / 5.0M out