Three code-generation models spanning a wide size and capability range, with notably different stories on long-term production viability. Qwen 2.5 Coder 32B Instruct, released by Alibaba in November 2024, is the strongest performer in this group. At 32 billion parameters with a 131K context window and support for 92 programming languages, it benchmarks alongside DeepSeek Coder V2 on LiveCodeBench and MultiPL-E — making it one of the more capable sub-frontier code models available through hosted APIs. The Qwen license permits commercial deployment, and several inference providers offer competitive per-token pricing. For teams running CI-integrated code generation or agentic coding pipelines at scale, this is a credible backbone. StarCoder2 15B Instruct, from the BigCode collaboration of HuggingFace and ServiceNow, was released September 2024 and trained on The Stack v2 — a corpus restricted to permissively licensed open-source code. At 15 billion parameters with a 16K context window, it trails Qwen 2.5 Coder on benchmark leaderboards. That tradeoff is deliberate for certain teams: regulated industries and enterprise environments with IP audit requirements often value training-data chain of custody above raw HumanEval numbers. BigCode OpenRAIL-M is commercially usable with narrow application restrictions. Stable Code Instruct 3B was Stability AI's entry into the small code-completion space, released January 2024 at 3 billion parameters with a 16K context window. By mid-2026, it has been effectively displaced: Qwen 2.5 Coder and DeepSeek Coder variants deliver materially stronger scores at comparable hosted prices, and Stability AI's non-commercial community license requires a paid Stability membership for production use — a friction cost that few teams accept when Apache-licensed alternatives exist at the same size tier. Pick Qwen 2.5 Coder 32B for production code generation. Pick StarCoder2 15B when training-data provenance is a compliance requirement. Skip Stable Code 3B for new production deployments.