LLM pricing

Amazon Bedrock's prompt caching feature can cut input token costs by up to 90% on cache hits by storing repeated context like documents, system prompts, and tool definitions. AWS outlines six implementation patterns and pricing details, including a 25% premium for cache writes and 90% discount on cache reads.

An AWS blog post using an open-source benchmarking harness finds that GPT-5.6 Luna, Terra, and Sol on Amazon Bedrock deliver lower cost-per-correct-answer than OpenAI's cost-optimized GPT-5.4 Mini and Nano, once accuracy, token efficiency, and agent turn counts are factored in. The analysis also cites a July 30, 2026 price cut of up to 80% for GPT-5.6 Luna on Amazon Bedrock.

DeepSeek will raise API output token pricing roughly fourfold starting August 16, introducing peak and off-peak rates for its V4 Pro and V4 Flash models. Despite the increase, DeepSeek remains cheaper than competitors like OpenAI's GPT-5.6 Sol and Moonshot's Kimi K3.

GitHub Models, the unified LLM API and playground that let GitHub Actions workflows make free AI calls using existing GitHub credentials, has been fully retired. GitHub has not disclosed a reason, though rising inference costs from coding-agent usage are the likely driver.

Alibaba's Qwen3.8 Max jumps 10 points to 56 on the Artificial Analysis Intelligence Index, putting it on par with Claude Opus 4.8. But Kimi K3 still edges it out at a lower per-task cost, and Qwen3.8 Max shows a sharp rise in hallucination rate.

Anthropic's Claude Opus 5 posts a 61 on the Artificial Analysis Intelligence Index, narrowly beating Claude Fable 5 (60) and GPT-5.6 Sol (59) while costing less per task. The model leads in coding and knowledge-work benchmarks but shows a rising hallucination rate of 50 percent.