MODEL FRONTIER
AI models
Track ChatGPT, Claude and the wider foundation-model market across releases, benchmarks, APIs, open weights and deployment choices.
EDITOR'S SELECTION
Latest analysis
The model race is becoming local, multilingual and sovereign
Sarvam’s open 30B and 105B models ignited a broader conversation about who builds a country’s AI layer—and whether global benchmarks capture the languages and workflows that matter locally.
Ravi Kapoor · 7 min readWhat an open-model breakthrough actually changes
A strong benchmark score can earn attention overnight. The harder questions are whether a model can be inspected, deployed affordably and trusted on the tasks that matter outside a leaderboard.
Ravi Kapoor · 8 min readReasoning models need different prompts—and different tests
Longer internal computation can improve difficult analysis and coding, but it also changes latency, cost and the way teams should write instructions and evaluate results.
Priya Raman · 8 min readSmall models are moving AI from the cloud onto devices
On-device language models trade frontier-scale breadth for low latency, privacy and zero per-request cloud cost. That makes them a different product primitive, not merely a smaller benchmark entry.
Ravi Kapoor · 9 min readHow to evaluate a multimodal model
Models that read text, images, audio and video promise one interface for many kinds of work. A useful comparison tests perception, reasoning, latency and failure behavior separately.
Priya Raman · 9 min read