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Canopy Wave 'Unlimited' Token Plan

LLM 3.5/10

Kimi K2.6 + MiniMax M2.5: high-speed inference up to 50M tokens/mo, then low-priority throttled requests until next cycle; OpenAI-compatible API

Canopy Wave 'Unlimited' Token Plan scores 3.5/10 for free value in LLM. The main constraint: Paid — $15.99/mo (200M $59.99; 500M $159.99). Kimi K2.6 + MiniMax M2.5: high-speed inference up to 50M tokens/mo, then low-priority throttled requests until next cycle; OpenAI-compatible API.

Category LLM Kind Paid plan Caveats AVOID for serious use: retroactive fair-use caps applied mid-cycle to paid 'unlimited' subs, strict no-refund policy, double-charging and hidden bundle-subscription reports, 'extremely slow' + 500-error complaints during throttling; token metering accuracy disputed

Free value score

3.5 / 10
Show the math
Model Quality 7.7/10
value = 43 artificial_analysis_score
weighted score = 0.2 * 7.7/10
Request Rate 1/10
value = 0.03 req/min
weighted score = 0.1 * 1/10
Requests 1.4/10
value = 1500 req/mo
score = 1.4/10
Access 10/10
value = 10/10
score = 10/10
Price Efficiency 2.6/10
value = 0.06 value/$
weighted score = 0.7 * 2.6/10

Key metrics

Kimi K2.6 43 Best model
50M T/mo Free tokens
50 R/day Requests/day
0.0625x Value ratio

What you get

Paid — $15.99/mo (200M $59.99; 500M $159.99). Kimi K2.6 + MiniMax M2.5: high-speed inference up to 50M tokens/mo, then low-priority throttled requests until next cycle; OpenAI-compatible API

50M fast tokens/mo for $16 looks cheap, but real-world reports undermine it — treat as high-risk

Sources

  • "Unlimited* plans: high-speed inference up to the plan's token allocation; beyond it requests continue at low priority with limited concurrency"

    https://cloud.canopywave.io

  • "Users report a retroactively-added ~50 requests/day fair-use cap on existing 'unlimited' subscriptions and hitting the 50M cap in ~2 days"

    https://www.reddit.com/r/opencodeCLI/
paid value llm-providers
Open service ← All LLM