PaLM-Coder is an AI model published by Google Research, released on 2022-04-05, for Coding model, with 540B parameters, and 4K context length, with a 88.40 score on HumanEval pass@100.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
PaLM-Coder currently shows benchmark results led by HumanEval pass@100 (10 / 21, score 88.40), HumanEval (68 / 101, score 35.90), MBPP (50 / 70, score 47). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
2 evaluationsCoding and Software Engineering
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Model Overview
PaLM-Coder is an AI model published by Google Research, released on 2022-04-05, for Coding model, with 540B parameters, and 4K context length, with a 88.40 score on HumanEval pass@100.
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