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

Together AI  Llama 3.3 70B Turbo

Together AI Llama 3.3 70B Turbo: $0.88/1M input tokens, 600 tok/s throughput, 310ms latency. Compare on BenchNode.io.

$0.88
per 1M input tokens
$0.88 / 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) 310 ms
lower is better
Uptime SLA 99.9%
Throughput 600 tok/s
310
ms latency
99.9%
uptime

Pricing Detail

input per 1m tokens usd
0.88
output per 1m tokens usd
0.88
free tier available
Yes
rate limit tpm
20,000
rate limit rpm
60
AI Analysis · gpt-4o-mini

Technical Verdict

The input and output costs of $0.88 / 1M tokens position this API tier at a mid-range price point for its model class, while the throughput of 600 tok/s is relatively fast. The rate limits of 20,000 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 tier is appropriate for a batch document processing pipeline with a small team requiring >500k daily requests and a tolerance for moderate latency.

More AI Inference Configs

Ready to start building?
Together AI
$25 free credits on signup

Compare Together AI Against Others

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