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-llama33-70b ✓ Verified June 4, 2026

SiliconFlow  Llama 3.3 70B

SiliconFlow Llama 3.3 70B: $0.14/1M input tokens, 680 tok/s throughput, 300ms latency. Compare on BenchNode.io.

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

Specifications

model id
llama-3.3-70b
model family
Llama 3.3
parameters
70B
context window tokens
128,000
modality
text
reasoning
No

Performance

Latency (TTFT) 300 ms
lower is better
Uptime SLA 99.9%
Throughput 680 tok/s
300
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, positioning this API tier in the mid-range for cost-efficiency, while the throughput of 680 tok/s is relatively fast for this model class. With rate limits of 30,000 TPM and 60 RPM, these constraints are more suited for low-volume prototyping rather than high-volume production, and the 300 ms first-token latency is more favorable for batch use than real-time applications.

Ideal Use Case

This API tier is suitable for a team of 2-5 engineers working on a batch document processing pipeline with a volume tier of <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 →