Alibaba

Qwen1.8B API Benchmarks, Pricing & Provider Data

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LLM

Qwen1.8B API pricing covers 23 API providers, from $0.196/M to $76.36/M.

Alibaba Qwen1.8B is a compact language model in the Qwen series, optimized for low-latency responses and efficient inference.

Cost
$0.196/ 1M · 8:1 in:out
$0.031 in · $0.164 out

Specifications

Technical Details

Documentation

Pricing Comparison

Compare Qwen1.8B API pricing across 23 providers. Prices range from $0.196/M to $76.36/M. Yun API offers the lowest rate at $0.196/M.

ProviderHealthModel VariantGroupInput ($/M)Output ($/M)Speed (t/s)First tokenAudit
L1
100%
qwen-1.8b-chat
default
$0.391/M
$0.391/M
L1
99%
qwen-1.8b-chat
default
$0.391/M
$1.96/M
L1
99%
qwen-1.8b-chat
default
$29.37/M
$29.37/M
L1
100%
qwen-1.8b-chat
default
$75.00/M
$75.00/M
L1
99%
qwen-1.8b-chat
default
$10.27/M
$10.27/M
L1
100%
qwen-1.8b-chat
default
$20.55/M
$20.55/M
L1
0%
qwen-1.8b-chat
default
$15.41/M
$15.41/M
L1
0%
qwen-1.8b-chat
default
$10.27/M
$10.27/M

Alternatives & Similar Models

Frequently Asked Questions

What benchmark data does Qwen1.8B include?
LMSpeed shows Qwen1.8B benchmark context, API price, output speed, first-token latency, and provider data across 23 providers when those signals are available.
What is the Qwen1.8B API price?
Qwen1.8B has pricing from 23 providers, ranging from $0.196/M to $76.36/M. Yun API has the lowest listed price.
What does the Qwen1.8B API pricing table include?
The Qwen1.8B API pricing table compares 23 providers by input price, output price, free tier status, speed, first-token latency, and recent health data when available.
Which provider has the cheapest Qwen1.8B API pricing?
Yun API currently has the lowest listed Qwen1.8B price at $0.196/M across 23 providers.
Is Qwen1.8B API free?
Qwen1.8B does not currently have a free API tier on LMSpeed. All 23 providers charge per token.

Also known as

qwen-1.8b-chat

Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.Standard benchmark data may include BenchLM and other public sources.

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