Qwen3.8 27B Thinking
Qwen3.8 27B is an open-weight multimodal model from Alibaba for reasoning, coding, visual understanding, tool use, and structured output. This variant enables thinking by default. Requests containing video cost $0.32 per million input tokens and $2.50 per million output tokens.
- Reasoning
- Vision
- Video Input
- Tool Calling
- Structured Output
Added Aug 16, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.15
- Output
- $0.70
- Cache read
- $0.04
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Parameters
- 27B
- Avg output (7d)
- 1.5K tokens
- Longer than 84% of models
Benchmarks
No public benchmark scores for this model yet.
Providers
Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)
| Cache write /M | ||||||
|---|---|---|---|---|---|---|
| $0.20 | $1.40 | $0.04 | N/A | N/A | N/A | |
| $0.15 | $0.70 | $0.04 | N/A | N/A | N/A | |
| $0.0229 | $0.309 | $0.0126 | N/A | N/A | N/A | |
| $0.21$0.0231 | $2.84$0.312 | $0.116$0.0127 | N/A | N/A | N/A | |
| $0.0367 | $1.57 | N/A | N/A | 0.6s | 44 tps | |
| $0.0367 | $0.331 | $0.0189 | N/A | N/A | N/A | |
| $0.041 | $1.31 | $0.0041 | N/A | 3.1s | 36 tps | |
| $0.042 | $2.63 | $0.021 | N/A | 0.8s | 99 tps | |
| $0.042 | $2.42 | $0.021 | N/A | 0.5s | 125 tps | |
| $0.0473 | $0.336 | $0.0158 | N/A | N/A | N/A | |
| $0.063 | $2.42 | $0.0525 | N/A | 0.7s | 136 tps | |
| $0.0872 | $0.618 | $0.00945 | N/A | 0.6s | 36 tps | |
| $0.0998 | $0.399 | $0.0399 | N/A | N/A | N/A | |
| $0.105 | $0.63 | $0.0525 | N/A | N/A | N/A | |
| $0.105 | $1.68 | $0.0525 | N/A | N/A | N/A | |
| $0.105 | $1.05 | N/A | N/A | N/A | N/A | |
| $0.126 | $1.57 | N/A | N/A | N/A | N/A | |
| $0.157 | $1.97 | $0.0394 | N/A | 0.8s | 32 tps | |
| $0.157 | $1.31 | $0.0787 | N/A | 1.1s | 72 tps | |
| $0.525$0.184 | $3.15$1.10 | $0.105$0.0368 | N/A | 25s | 17 tps | |
| $0.236 | $2.08 | $0.0525 | N/A | 0.9s | 47 tps | |
| $0.252 | $2.31 | $0.0525 | N/A | 0.6s | 51 tps | |
| $0.263 | $2.05 | $0.084 | N/A | N/A | N/A | |
| $0.42 | $3.15 | $0.157 | N/A | 1s | 22 tps | |
| $0.441 | $3.15 | $0.0892 | N/A | 3.3s | 42 tps | |
| $0.446 | $2.68 | $0.0892 | $0.558 | 2.2s | 52.5 tps | |
| $0.472 | $3.36 | $0.0525 | N/A | 0.4s | 41.5 tps | |
| $0.472 | $3.36 | $0.263 | N/A | 2s | 41 tps | |
| $0.472 | $2.84 | N/A | N/A | N/A | N/A | |
| $0.472 | $3.15 | $0.105 | N/A | 0.9s | 175 tps | |
| $0.472 | $3.36 | $0.263 | N/A | N/A | N/A | |
| $0.472 | $3.36 | N/A | N/A | 0.7s | 68.5 tps | |
| $1.04 | $1.56 | N/A | N/A | 0.3s | 821 tps | |
| $1.05 | $3.15 | $0.0799 | N/A | 0.9s | 176 tps |
Privacy:ZDR, prompts not retainedNo training on promptsRetention and training unclearBest latency and throughput are highlighted.