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 ·
[728×90 display ad]
AI Inference siliconflow-deepseek-v3 ✓ Verified June 4, 2026

SiliconFlow  DeepSeek V3

SiliconFlow DeepSeek V3: $0.14/1M input tokens, 430 tok/s throughput, 380ms latency. Compare on BenchNode.io.

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

Specifications

model id
deepseek-v3
model family
DeepSeek V3
parameters
685B MoE
context window tokens
128,000
modality
text
reasoning
No

Performance

Latency (TTFT) 380 ms
lower is better
Uptime SLA 99.9%
Throughput 430 tok/s
380
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

With an input and output cost of $0.14 per 1M tokens, this pricing is mid-tier for a model with 685B parameters, while the throughput of 430 tok/s is relatively fast. The rate limits of 30,000 TPM and 60 RPM suggest suitability for low-volume prototyping, and the first-token latency of 380 ms is more favorable for batch use than for real-time applications.

Ideal Use Case

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

More AI Inference Configs

Ready to start building?
SiliconFlow
Industry-low pricing

Compare SiliconFlow Against Others

[300×250 display ad — EthicalAds / Carbon Ads]
← All providers VS comparisons → Data methodology →