qwen3.8-27b API Pricing
qwen3.8-27b on Groq costs $0.80 per 1M input tokens and $4.00 per 1M output tokens (as of ).
| Input | $0.80 / 1M tokens |
|---|---|
| Output | $4.00 / 1M tokens |
| Cached input (read) | — |
| Cache write | — |
| Batch input / output | — |
| Above 200K tokens (input / output) | — |
| Context window | 131K tokens |
| Max output | 16K tokens |
| Supports | vision, tool calling, reasoning |
| Deprecation date | None listed |
| API model id | qwen/qwen3.8-27b |
| In our records since |
What it costs for common jobs
Estimated from the list price above (no caching or batch discount).
| Job | Estimated cost |
|---|---|
| 1,000 chat replies (2,000 tokens in, 500 out each) | $3.60 |
| Summarising 100 long documents (50,000 in, 1,000 out each) | $4.40 |
| 1 million classification calls (300 in, 5 out each) | $260.00 |
Try your own numbers in the LLM API cost calculator.
Price history
No price change recorded since .
Similarly priced models
| Model | Provider | Input / 1M | Output / 1M | Cached input / 1M | Context |
|---|---|---|---|---|---|
| gpt-oss-120b | Groq | $0.15 | $0.60 | $0.07 | 131K |
| gpt-oss-20b | Groq | $0.07 | $0.30 | $0.04 | 131K |