Daily List Highlights Cheapest Capable AI Coding Models
The October 13, 2026 AI Weather Report ranks 60 AI models for coding using a value score that combines benchmark capability with blended API cost. Mistral-nemo took the top spot with a value score of 2084.0, a capability rating of 62 out of 100, and a cost of $0.0297 per million tokens. The score is calculated by dividing capability by cost, with free-tier models receiving a large boost.
The October 13, 2026 edition of the AI Weather Report compares sixty coding-focused models by a value metric. That metric divides a capability rating—drawn from coding benchmarks—by a blended per-million-token API price, weighting input at one quarter and output at three quarters. Free-tier offerings receive a substantial adjustment.
Mistral-nemo led with a 2084.0 value score, a 62/100 capability rating, and $0.0297 per million tokens. l3-lunaris-8b placed second at 1221.1, while gpt-oss-20b was third at 1083.3 despite a higher 78/100 capability, reflecting its $0.0720 cost.
This ranking may influence developers, startups, and smaller teams choosing coding assistants, potentially making lower-cost models more attractive. If value scores guide procurement, providers could face pressure to cut API prices or improve benchmark performance. Businesses and individual programmers might benefit from cheaper experimentation, though benchmark-based scores may not capture real-world reliability, security, or maintenance needs.