Testing Gemini 3.7 Flash for Code Generation
Google's new Gemini 3.7 Flash model is faster and cheaper for simple coding tasks but struggles with the complex, multi-file workflows of a real-world codebase.
Posts tagged coding
Claude Opus 5 benchmarks #1 but its chatty diffs slow my agent loop
Claude Opus 5 tops the Artificial Analysis leaderboard at #1, but its chatty diffs and mid-task questions make it a pain to ship in agent loops.
Claude Opus 5: same price, thinking-on by default, and mostly worth it
Claude Opus 5 keeps Opus 4.8 pricing and genuinely improves multi-file code refactors, but thinking-on by default quietly inflates your token bill 2-3x.
MiniMax M3 self-hosted: holds up on refactors, chokes on long context
Ran MiniMax M3 locally against Qwen3-Coder and GLM-5.1. Strong on scoped refactors, weak on long context. A solid second model, not a daily driver.
Trying Meta's Muse Spark 1.3: Fewer Tool Calls, More Problems
Meta's Muse Spark 1.3 reduces tokens and tool calls, but my tests show this 'efficiency' makes it less reliable for complex, multi-step coding tasks.
Meta's Muse Spark 1.3: A Test of Efficiency Claims
Meta's Muse Spark 1.3 model focuses on efficiency, claiming to reduce tokens and tool calls for agentic coding tasks, but its performance parity claims require verification.
Gemini 3.7 Flash: Fast Enough for Real Agent Workflows
Google's Gemini 3.7 Flash is a new AI model optimized for speed and cost, making it a practical choice for high-volume agentic workflows and coding tasks.