AI and Tech Summaries - AI Weekly Malaysia

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Short AI and tech summaries with source links, signal scores, and why each update matters for builders, founders, and Malaysian tech workers.

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Date	Provider	Score	Summary
08 Oct 2026, 4:56 AM	Simon Willison	7.8	Claude Haiku 5.5 Anthropic released Claude Haiku 5.5 on 7 October 2026 at $0.10/million input and $0.50/million output up to 100,000 tokens, matching OpenAI's GPT-6 Luna, but jumping 5x to $0.50/$2.50 past that threshold (Luna only rises to $0.20/$0.75 at 272,000 tokens). Simon Willison measured a further hidden increase: Haiku 5.5's new tokenizer consumes about 1.25x more tokens on the same prompt than Haiku 4.5, which was priced at $1/$5. Haiku 5.5 cannot disable reasoning and defaults to medium; Willison's pelican test cost 0.0936 cents in 7 seconds at low effort and 3.3826 cents over 5 minutes 9 seconds at max effort. Anthropic also halved Sonnet 5.5 cache-read pricing and added monthly API credits to subscriptions: $100 for Max 5x, $200 for Max 20x, up to $500 pooled for Team. Why: If your prompts run under 100,000 tokens, Haiku 5.5 is roughly a 10x price cut versus Haiku 4.5 and lands at parity with GPT-6 Luna; above 100k tokens Luna is the cheaper choice, so long-context workloads should route elsewhere. The 1.25x tokenizer inflation means your real cost is roughly 25% higher than a naive per-token comparison suggests — re-run your own token counts before switching a production pipeline. And if you already pay for Max 5x, Max 20x or Team, the new monthly API credits ($100/$200/up to $500 pooled) exactly offset the subscription cost, which changes whether a separate API budget line is still needed. anthropic claude-haiku llm-pricing tokenizers developer-tools

Date

Provider

Score

Summary

08 Oct 2026, 4:56 AM

Simon Willison

7.8

Claude Haiku 5.5

Anthropic released Claude Haiku 5.5 on 7 October 2026 at $0.10/million input and $0.50/million output up to 100,000 tokens, matching OpenAI's GPT-6 Luna, but jumping 5x to $0.50/$2.50 past that threshold (Luna only rises to $0.20/$0.75 at 272,000 tokens). Simon Willison measured a further hidden increase: Haiku 5.5's new tokenizer consumes about 1.25x more tokens on the same prompt than Haiku 4.5, which was priced at $1/$5. Haiku 5.5 cannot disable reasoning and defaults to medium; Willison's pelican test cost 0.0936 cents in 7 seconds at low effort and 3.3826 cents over 5 minutes 9 seconds at max effort. Anthropic also halved Sonnet 5.5 cache-read pricing and added monthly API credits to subscriptions: $100 for Max 5x, $200 for Max 20x, up to $500 pooled for Team.

Why: If your prompts run under 100,000 tokens, Haiku 5.5 is roughly a 10x price cut versus Haiku 4.5 and lands at parity with GPT-6 Luna; above 100k tokens Luna is the cheaper choice, so long-context workloads should route elsewhere. The 1.25x tokenizer inflation means your real cost is roughly 25% higher than a naive per-token comparison suggests — re-run your own token counts before switching a production pipeline. And if you already pay for Max 5x, Max 20x or Team, the new monthly API credits ($100/$200/up to $500 pooled) exactly offset the subscription cost, which changes whether a separate API budget line is still needed.