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 deepinfra-llama33-70b ✓ Verified June 4, 2026

DeepInfra  Llama 3.3 70B

DeepInfra Llama 3.3 70B: $0.59/1M input tokens, 700 tok/s throughput, 270ms latency. Compare on BenchNode.io.

$0.59
per 1M input tokens
$0.59 / 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) 270 ms
lower is better
Uptime SLA 99.9%
Throughput 700 tok/s
270
ms latency
99.9%
uptime

Pricing Detail

input per 1m tokens usd
0.59
output per 1m tokens usd
0.59
free tier available
Yes
rate limit tpm
15,000
rate limit rpm
60
AI Analysis · gpt-4o-mini

Technical Verdict

The input and output costs are both $0.59 per 1M tokens, which is mid-range for a model of this scale, while the throughput of 700 tok/s is relatively fast. The rate limits of 15,000 TPM and 60 RPM are more suited for low-volume prototyping, and the first-token latency of 270 ms does not favor real-time applications but rather batch processing scenarios.

Ideal Use Case

This tier is suitable for a batch document processing workload with a small team, requiring <50k daily completions and moderate latency tolerance.

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