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AI Code Generation

131 summarised stories about AI Code Generation, each linking back to the original source. Browse all topics →

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Friday, 11 September 2026

Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

Amazon Web Services 1 month ago 14

A benchmarking harness measured accuracy and real “cost per outcome” for five OpenAI models, comparing OpenAI API baselines (gpt-5.4-mini, gpt-5.4-nano) with three OpenAI models on Amazon Bedrock (gpt-5.6-luna, gpt-5.6-terra, gpt-5.6-sol) across single-call tests, multi-turn agent trajectories, and rubric-graded professional deliverables. On July 30, 2026 Bedrock repricing, gpt-5.6-luna recorded $0.0021 per correct AIME answer versus $0.0139 for gpt-5.4-mini, and $0.010 per passing GDPval deliverable versus $0.030 for gpt-5.4-mini. Model choice shifts from comparing token prices to comparing measured cost per successful outcome under the right workload shape, especially accounting for turn efficiency in agents and per-deliverable quality gates.

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