Llama-4-Maverick-17B-128E-Instruct pricing
Llama-4-Maverick-17B-128E-Instruct, Flagship-tier from SambaNova, costs $0.63 per 1M input tokens and $1.80 per 1M output tokens.
Input$0.63per 1M tokens
Output$1.80per 1M tokens
Context window—tokens
TierFlagshipSambaNova
Price your own workload against Llama-4-Maverick-17B-128E-Instruct in the calculator →
Specs and pricing
| Provider | SambaNova |
| Tier | Flagship |
| Context window | — |
| Max output | — |
| Input price | $0.63 / 1M tokens |
| Output price | $1.80 / 1M tokens |
| Modalities | text |
Note. SambaNova Cloud pricing API returns prices in cents per 1M tokens (63/180), converted here to USD per 1M tokens.
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 | $0.63 | $0.45 | $1.08 |
| 10,000,000 in / 2,500,000 out | $6.30 | $4.50 | $10.80 |
| 100,000,000 in / 25,000,000 out | $63.00 | $45.00 | $108.00 |
Cheaper alternatives
Same tier (Flagship), 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 |
|---|---|---|---|---|
| Qwen3 235B A22B Instruct 2507 | Novita AI | $0.09 | $0.58 | 78.2% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 72.2% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 68.5% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 55.3% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 55.3% cheaper blended |