Meta-Llama-3.3-70B-Instruct pricing
Meta-Llama-3.3-70B-Instruct, Mid-tier from SambaNova, costs $0.60 per 1M input tokens and $1.20 per 1M output tokens.
Input$0.60per 1M tokens
Output$1.20per 1M tokens
Context window—tokens
TierMidSambaNova
Price your own workload against Meta-Llama-3.3-70B-Instruct in the calculator →
Specs and pricing
| Provider | SambaNova |
| Tier | Mid |
| Context window | — |
| Max output | — |
| Input price | $0.60 / 1M tokens |
| Output price | $1.20 / 1M tokens |
| Modalities | text |
Note. SambaNova lists Llama 3.3 70B Instruct at $0.60 / $1.20 per 1M tokens on its own pricing page.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $0.60 | $0.30 | $0.90 |
| 10,000,000 in / 2,500,000 out | $6.00 | $3.00 | $9.00 |
| 100,000,000 in / 25,000,000 out | $60.00 | $30.00 | $90.00 |
Cheaper alternatives
Same tier (Mid), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| GPT-OSS 120B | OpenRouter | $0.037 | $0.17 | 91.2% cheaper blended |
| GPT-OSS 120B | Novita AI | $0.05 | $0.25 | 87.5% cheaper blended |
| Llama-3.3-70B-Instruct-Turbo | DeepInfra | $0.10 | $0.32 | 80% cheaper blended |
| Nemotron 3 Super | OpenRouter | $0.085 | $0.40 | 79.4% cheaper blended |
| DeepSeek V4 Flash 0731 | Baseten | $0.13 | $0.26 | 78.3% cheaper blended |