Qwen3.8 27B
Qwen3.8 27B is Alibaba's language model with a 1.0M context window and up to 236K output tokens, available from 10 providers, starting at $0.0626 / 1M input and $1.49 / 1M output. An open-weight dense vision-language model optimized for coding, professional workflows, research, multimodal interaction, and long-running agent tasks.
| Benchmarks | |
|---|---|
| Intelligence Index | #52 |
| Coding Index | #32 |
| GPQA | #38 |
| HLE | #66 |
| Time to First Token | #530 |
| SciCode | #78 |
| LCR | #24 |
| Output TPS | #193 |
Capabilities
Input4/5
Text✓
Image✓
Audio·
Video✓
PDF✓
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities6/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Free | Batch | |||||
|---|---|---|---|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | Cache Write 5m $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.5 | $3.00 | N/A | N/A | — | — | $0.25 | $1.50 | |
| $0.99 | $1.49 | N/A | N/A | — | — | — | — | |
| $0.45 | $3.20 | $0.05 | N/A | — | — | — | — | |
| $0.4 | $3.00 | $0.04 | N/A | — | — | — | — | |
| $0.8 | $4.00 | N/A | N/A | — | — | — | — | |
| $0.42 | $3.00 | N/A | N/A | — | — | — | — | |
| $0.47 | $3.19 | N/A | N/A | — | — | — | — | |
| $0.45 | $3.00 | N/A | N/A | — | — | — | — | |
| $0.0626 | $4.40 | $0.0501 | N/A | N/A | N/A | — | — | |
| — | — | — | — | $N/A | $N/A | — | — | |
| $0.5 | $3.00 | $0.1 | $0.625 | — | — | — | — | |
| $0.4 | $3.00 | $0.15 | N/A | — | — | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Qwen3.8 27B, ranked by cheapest on-demand price. The model needs about 65 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NP20s |  Azure | 2× AMD Alveo U250 FPGA (64GB) | 128 GB | $3.30/hr | ||
| g7e.2xlarge |  AWS | RTX PRO Server 6000 | 96 GB | $3.36/hr | ||
| Standard_NC24ads_A100_v4 | Azure | NVIDIA A100 | 80 GB | $3.67/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Qwen3.8 2.4T A95B | 1.0M | $2.00 | $6.00 | Available | |
| Qwen Audio 3 Flash ASR | — | — | — | — | Available |
| Qwen Audio 3 Flash ASR Filetrans | — | — | — | — | Available |
| Qwen Audio 3 Flash ASR Streaming | — | — | — | — | Available |
| Qwen Audio 3 Flash Realtime | — | — | $0.230 | $0.930 | Available |
| Qwen Audio 3 Plus Realtime | — | — | $0.800 | $6.40 | Available |
| Qwen Audio 3 Plus TTS | — | — | — | — | Available |
| Qwen Audio 3.1 Plus Realtime | — | — | $0.800 | $6.40 | Available |
| Qwen Image 3 | — | — | — | — | Available |
| Qwen Image 3.0 Pro | — | — | — | — | Available |
| Qwen3.8 27B | 1.0M | $0.063 | $1.49 | Current |