Daily Ranking Highlights Cheapest Capable Coding Models
The October 8, 2026 AI Weather Report ranks 60 AI coding models by value, combining benchmark capability with API token pricing. Mistral-nemo took first place with a value score of 2275.2, a capability rating of 62, and a blended cost of $0.0272 per million tokens. The scoring uses SWE-bench, HumanEval, and LiveCodeBench, weighting costs at 25% input and 75% output for coding workloads.
The October 8, 2026 AI Weather Report compares 60 coding models by combining benchmark scores with API token prices. Its value score divides capability—drawn from SWE-bench, HumanEval, and LiveCodeBench—by a blended cost that weights input tokens at 25% and output tokens at 75%.
Mistral-nemo led with a 62/100 capability rating and $0.0272 per million tokens, producing 2275.2. Higher-capability entries did not always rank near the top: gpt-oss-120b scored 93 but placed seventh, while qwen3-235b-a22b-2507 scored 96 and ranked 33rd.
Rankings like this could influence which coding assistants developers and small teams try, potentially reducing experimentation costs. If lower-cost models prove adequate, startups and independent programmers may gain more options, while providers of premium models could face pressure to justify higher prices. The broader effect may depend on whether benchmark performance translates into reliable real-world coding, so users could benefit unevenly.