LLM Benchmark

Detailed Eval Results

How well do leading LLMs write SpacetimeDB code? We prompt each model, run the generated code against live modules, and score with automated checks.

Leaderboard

Models ranked by eval pass rate.2026-07-14
ModelEval Pass%ChecksCostRun TimeAuthBasicsData ModelingQueriesSchema
Claude Opus 4.80.0%0/89$1.65264.5K tokens3m 46s0.0%0.0%0.0%0.0%0.0%
Claude Sonnet 4.60.0%0/89$0.74194.2K tokens3m 44s0.0%0.0%0.0%0.0%0.0%
DeepSeek V4 Flash0.0%0/89$0.02191.7K tokens7m 36s0.0%0.0%0.0%0.0%0.0%
DeepSeek V4 Pro0.0%0/89$0.09176.8K tokens6m 21s0.0%0.0%0.0%0.0%0.0%
Gemini 3.1 Pro0.0%0/89$1.04227.7K tokens9m 21s0.0%0.0%0.0%0.0%0.0%
Gemini 3.5 Flash0.0%0/89$0.38182.8K tokens1m 45s0.0%0.0%0.0%0.0%0.0%
GPT-5.4-mini0.0%0/89$0.16162.2K tokens1m 29s0.0%0.0%0.0%0.0%0.0%
GPT-5.50.0%0/89$1.58178.7K tokens7m 34s0.0%0.0%0.0%0.0%0.0%
Grok 4.30.0%0/89$0.31200.4K tokens5m 54s0.0%0.0%0.0%0.0%0.0%
Grok Build 0.10.0%0/89$0.42286.7K tokens19m 19s0.0%0.0%0.0%0.0%0.0%