mT0 13B XXL is BigScience's language model with a 8K context window and up to 8K output tokens, starting at $0.5 / 1M input and $2.00 / 1M output. A 13B parameter multilingual instruction-tuned model from BigScience based on mT5, designed for zero-shot cross-lingual task generalization.
| Specifications | |
|---|---|
bigscience-mt0-13b-xxl | |
| Language | |
| Active | |
| BigScience | |
| 8K tokens | |
| 8K tokens | |
| Text | |
| Text | |
| 13B | |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.5 | $2.00 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host mT0 13B XXL, ranked by cheapest on-demand price. The model needs about 31 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_NV16as_v4 |  Azure | AMD Radeon Instinct MI25 | 32 GB | $0.932/hr | westus2 | |
| Standard_NP10s | Azure | AMD Alveo U250 FPGA (64GB) | 64 GB | $1.65/hr | westus2 | |
| g6e.xlarge |  AWS | L40S | 45 GB | $1.86/hr | us-east-1 | |