Batch Inference for Model Evaluations
Run comprehensive evaluation suites across candidate models at a fraction of the cost. Make better model decisions without the budget anxiety.
Why Doubleword Batched for Model Evals?
Test More Models
Lower costs mean you can evaluate more candidates before making decisions.
Larger Eval Sets
Run thousands of test cases for statistically significant results.
Consistent Comparison
Same evaluation conditions across all models for fair benchmarking.
Common Use Cases
- Comparing model performance across benchmark suites
- A/B testing prompt variations at scale
- Regression testing after model updates
- Evaluating fine-tuned models against baselines
Everything You Need for Model Evals
Up to 75% Savings
Our batch-optimized infrastructure delivers dramatic cost savings on every inference call.
Guaranteed SLAs
Choose 1-hour or 24-hour delivery. If we miss it, you don't pay. Simple as that.
Streaming Results
Results flow back as they're processed. Start using data before the batch completes.
Ready to Optimize Your Model Evals?
Join our private preview and start saving up to 75% on your batch inference workloads today.
Other Use Cases
Async Agents
Autonomous agents that do long running background multi-step reasoning tasks.
Data Processing Pipelines
Process large datasets with LLM-powered analysis at scale.
Image Processing
Analyze, caption, and extract insights from thousands of images efficiently.
Synthetic Data Generation
Generate high-quality training data for model training and fine-tuning.
Document Processing
Extract, summarize, and analyze documents at scale.
Classification
Categorize and tag content across millions of items.
Embeddings
Generate vector embeddings for search, RAG, and semantic analysis.