Alibaba

Qwen3.5 Omni Plus

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

Pricing (per 1M tokens)

Input$0.40
Output$4.80
Blended (3:1)$1.50

Source: Artificial Analysis

Performance

Output Speed127 tok/s
Time to First Token2120ms

Median values from Artificial Analysis

Benchmarks

Editorial Analysis

Profile. Qwen3.5 Omni Plus is positioned in the mid-tier at $4.80/M output tokens. The benchmark profile is balanced — scoring across standard tests — making it a default choice for teams that need general-purpose reasoning without paying frontier-model prices.

Latency. On latency, Qwen3.5 Omni Plus reports 127 tok/s output speed and 2120ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.

Cost model. For a workload of 1M input tokens + 100K output tokens, Qwen3.5 Omni Plus costs $0.88 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 2026-09-06.

Compare with similar models

ModelInputOutputSpeed
Qwen3.5 Omni PlusCurrent
$0.40$4.80127 tok/s
Claude 4.5 Haiku (Reasoning)
$1.00$5.0090 tok/s
Claude 4.5 Haiku (Non-reasoning)
$1.00$5.0084 tok/s
GPT-5.4 mini (medium)
$0.75$4.50180 tok/s
GPT-5.4 mini (Non-Reasoning)
$0.75$4.50155 tok/s
GPT-5.4 mini (xhigh)
$0.75$4.50200 tok/s

Example Costs

Single Request
$0.0028
1.0K in / 500 out
1K Requests/day
$2.80
1.0M in / 500.0K out
10K Requests/day
$28.00
10.0M in / 5.0M out