Qwen3.5 397B-A17B pricing
Qwen3.5 397B-A17B, Flagship-tier from Parasail, costs $0.50 per 1M input tokens and $3.60 per 1M output tokens.
Input$0.50per 1M tokens
Output$3.60per 1M tokens
Context window—tokens
TierFlagshipParasail
Price your own workload against Qwen3.5 397B-A17B in the calculator →
Specs and pricing
| Provider | Parasail |
| Tier | Flagship |
| Context window | — |
| Max output | — |
| Input price | $0.50 / 1M tokens |
| Output price | $3.60 / 1M tokens |
| Cache read | $0.30 / 1M tokens |
| Modalities | text |
Note. Parasail elastic-endpoint serverless pricing, listed by the seller as price per 1M tokens: $0.5/1M input, $3.6/1M output, $0.3/1M cache read; no conversion needed.
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 | $0.50 | $0.90 | $1.40 |
| 10,000,000 in / 2,500,000 out | $5.00 | $9.00 | $14.00 |
| 100,000,000 in / 25,000,000 out | $50.00 | $90.00 | $140.00 |
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 | 83.2% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 78.6% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 65.5% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 65.5% cheaper blended |
| DeepSeek V3.1 Terminus | Novita AI | $0.27 | $1.00 | 62.9% cheaper blended |