Coding Model Value Rankings Put Mistral-Nemo on Top
The October 15, 2026 edition compares AI coding models on capability relative to API cost. Mistral-nemo tops the list with a value score of 2084.0, a 62/100 capability rating, and $0.0297 per million tokens. The report also provides scores for 60 models in total.
The October 15, 2026 report ranks coding models by combining capability with API price. Mistral-nemo leads with a value rating of 2084.0, a 62/100 capability rating, and $0.0297 per million tokens. The report scores 60 models in total, with the top ten including l3-lunaris-8b, gpt-oss-20b, and mistral-small-24b-instruct-2501.
The ranking's value metric divides a capability score by blended cost per million tokens. That capability score draws on SWE-bench, HumanEval, and LiveCodeBench, while the cost blend weights coding workloads at 25% input and 75% output. Higher values indicate stronger relative value, and free-tier models receive a substantial boost.
Rankings like this could influence how developers, startups, and enterprises choose coding assistants, potentially steering budgets toward models that offer more capability per dollar. API providers may face pressure to improve efficiency or adjust pricing. Smaller teams might gain access to useful coding support at lower cost. At the same time, benchmark-based value metrics may not capture real-world reliability, security, or maintenance