Vals Inference Provider - Baseten - Overall: leaderboard
Fixed165-task challenge set;165 selected tasks for Overall. Same agent and tasks; provider recommended output budgets retained per row. Finance averages nine categories; overall gives three benchmarks equal weight. Separate provider cohorts; no latency or cost score. Higher accuracy is better. Endpoint provenance is retained; provider infrastructure does not create a new model identity.
Metric: Accuracy (%). Source: www.vals.ai. Saturation forecast: Around February 2027. 2 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4.1 Flash | 68.86 | #34 |
| 2 | Kimi K3 | 67.29 | #32 |
No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=vals-inference-provider-baseten-overall · How It Works · Data refreshed daily, snapshot 2026-10-24.