US-East 42ms p50 · EU-Central 38ms p50 · AP-South 71ms p50 · ETH Block #21.4M head · SOL Block #312.1M head · Groq 750 tok/s · Together 600 tok/s · Alchemy 25ms rpc · US-East 42ms p50 · EU-Central 38ms p50 · AP-South 71ms p50 · ETH Block #21.4M head · SOL Block #312.1M head · Groq 750 tok/s · Together 600 tok/s · Alchemy 25ms rpc ·
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AI Inference siliconflow-qwen3-32b ✓ Verified June 4, 2026

SiliconFlow  Qwen3 32B

SiliconFlow Qwen3 32B: $0.14/1M input tokens, 540 tok/s throughput, 310ms latency. Compare on BenchNode.io.

$0.14
per 1M input tokens
$0.14 / 1M output
Free tier available

Specifications

model id
qwen3-32b
model family
Qwen3
parameters
32B
context window tokens
32,768
modality
text
reasoning
Yes

Performance

Latency (TTFT) 310 ms
lower is better
Uptime SLA 99.9%
Throughput 540 tok/s
310
ms latency
99.9%
uptime

Pricing Detail

input per 1m tokens usd
0.14
output per 1m tokens usd
0.14
free tier available
Yes
rate limit tpm
30,000
rate limit rpm
60
AI Analysis · gpt-4o-mini

Technical Verdict

The input and output costs are both $0.14 per 1M tokens, which positions this API tier at a mid-range price point for its model class, while the throughput of 540 tok/s is relatively fast. The rate limits of 30,000 TPM and 60 RPM suggest suitability for low-volume prototyping rather than high-volume production, and the first-token latency of 310 ms favors batch use over real-time applications.

Ideal Use Case

This API tier is suitable for a batch document processing workload with a small team scale, targeting <50k daily completions.

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