nntrivi2001
9c573f1e3c
Decisions, environment quirks and pitfalls learned while working on AgentHub (docs/claude-memory/, indexed by MEMORY.md). Notes holding personal account details are left out. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
24 lines
2.0 KiB
Markdown
24 lines
2.0 KiB
Markdown
---
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name: claude-haiku-5-5
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description: "Claude Haiku 5.5 (2026-10-07) facts + its 100k-token price tier, which AgentHub's pricing does not model"
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metadata:
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node_type: memory
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type: reference
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originSessionId: f2f2cbeb-6ac1-4876-8b8a-f8dc6cd3a17b
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modified: 2026-10-08T03:58:14.256Z
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---
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Source: https://www.anthropic.com/claude-haiku-5-5 (read 2026-10-08).
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- Model id `claude-haiku-5-5`, released 2026-10-07. Cheapest/fastest small model; first Haiku with effort levels (low/med/high/xhigh/max); computer/browser use in beta; new tokenizer uses slightly more tokens per task.
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- Per MTok, split at a **100k-token prompt**: input $0.10/$0.50, output $0.50/$2.50, cache write $0.125/$0.625, cache read $0.01/$0.05. (Haiku 4.5: $1/$5/$1.25/$0.10, flat.)
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- Same day: **Sonnet 5.5 cache read was halved, $0.20 → $0.10** (input $2, output $10 unchanged).
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- Anthropic positions it for summaries, compaction, classification, subagents; Sonnet/Opus 5.5 still better for complex agentic coding (Terminal-Bench 4.0: 39.2% vs Sonnet 70.6%).
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- Platforms: Claude API, AWS, Google Cloud, Azure.
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AgentHub status 2026-10-08: the >100k tier is now modelled (uncommitted), as SUBSET columns `long_*_tokens` on token_usage/token_usage_hourly plus `model_pricing.long_input_per_mtok`/`long_output_per_mtok`, synced from LiteLLM's `*_above_100k_tokens`. It was deliberately NOT done as a new primary-key dimension: prod (4820) and dev (4830) share one DB, so a PK rebuild would break the older build's `ON CONFLICT`, and splitting rows would double-count under the high-water-mark baselines. Threshold is the single `LONG_CONTEXT_TOKENS` = 100k.
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Useful for the user's own work:
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- A good cheap model for subagents doing exploration, summaries or classification. AgentHub's AI commit message (`server/lib/commit-message.js`, `--model haiku` alias) now gets it automatically and costs about 10× less. Nothing needs to change.
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- Its cyber safeguards still BLOCK pentest/attacker techniques, so it is the wrong model for Strix pentest work. Use Sonnet/Opus there.
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