Checked every hosted entry against published documentation 2026-09-21. There
were errors in BOTH directions, and the overstatements are the dangerous
half -- an understated limit wastes tokens, an overstated one is a hard API
rejection partway through a session.
anthropic/claude-haiku-4-5 1,000,000 -> 200,000 OVERSTATED 5x
openai/gpt-5.6-sol 200,000 -> 1,050,000
openai/gpt-5.5 200,000 -> 1,050,000
openai/gpt-5.4 200,000 -> 1,050,000
openai/gpt-5.4-mini 200,000 -> 1,050,000
chatgpt/* (4 aliases) 272,000 -> 1,050,000
agent/*-gpt-5.x (11 aliases) 272,000 -> 1,050,000
agent/*-glm-5.3 (4 aliases) 150,000 -> 200,000 deliberate cap
anthropic/claude-{opus,sonnet}-5 unchanged, already correct
Haiku is the one that mattered. Opus 5 and Sonnet 5 really are 1M, the whole
Anthropic block was set to 1M, and Haiku inherited a limit five times its
real 200k. Opencode would have grown a session past the ceiling and the API
would have refused it.
⚠ glm-5.3 is capped at 200,000 BY CHOICE. Its real maximum is 1M. GLM bills
per input token and cost on this stack tracks context size and cache-read
volume more than model choice, so the cap is budget control, not ignorance.
Do not "correct" it upward against the docs. This is the one place where a
declared limit below the vendor maximum is intentional.
⚠ chatgpt/* now carries the API's 1,050,000, but OpenAI does not publish a
context limit for ChatGPT-plan routing and it has historically been far
below the API's. This is deliberately optimistic and being watched for a
crash; if long sessions start failing, that is the first thing to lower.
Left alone for want of evidence, not because they are right:
openai/gpt-5.3-codex (200,000), agent/librarian-glm-5.3-flash (128,000),
agent/sisyphus-junior-glm-5.3-flash (150,000). Raising an unconfirmed limit
risks the Haiku failure mode, so these stay until measured.
Unrelated but found while checking: LiteLLM declares kimi/kimi-k2.7-code at
272,000 against a published 262,144. Overstated by ~10k.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01E9UH1zGZZtA9yhohmQrcT6
connorandClaude Opus 5
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