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MiniMax Token Plan Max

LLM 3.7/10

~5.1B MiniMax-M3 tokens/mo; 4-5 concurrent agents; video gen 3 clips/day; same OpenAI + Anthropic endpoints; community reports sustaining ~1B tokens/day at high cache-hit

Tokens / month
1.7B
Tokens / day
1B

MiniMax Token Plan Max scores 3.7/10 for free value in LLM. The main constraint: Paid — $50/mo (~$500/yr annual). ~5.1B MiniMax-M3 tokens/mo; 4-5 concurrent agents; video gen 3 clips/day; same OpenAI + Anthropic endpoints; community reports sustaining ~1B tokens/day at high cache-hit.

Category LLM Kind Paid plan Caveats Quota shared across text/image/speech/music, gated by BOTH 5h-rolling AND weekly windows, no rollover; 'designed for individual, interactive developer use' — MiniMax recommends pay-as-you-go for production; peak-hour dynamic throttling (weekdays 15:00-17:30 UTC+8); big token numbers assume high cache-hit rates

Free value score

3.7 / 10
Show the math
Model Quality 8/10
value = 44 artificial_analysis_score
weighted score = 0.2 * 8/10
Access 10/10
value = 10/10
weighted score = 0.1 * 10/10
Price Efficiency 1.6/10
value = 0.02 value/$
weighted score = 0.7 * 1.6/10

Key metrics

MiniMax M3 44 Best model
1.7B T/mo Free tokens
1.0B T/day Tokens/day
0.02x Value ratio

What you get

Paid — $50/mo (~$500/yr annual). ~5.1B MiniMax-M3 tokens/mo; 4-5 concurrent agents; video gen 3 clips/day; same OpenAI + Anthropic endpoints; community reports sustaining ~1B tokens/day at high cache-hit

~5.1B M3 tokens/mo for $50 => ~100M tokens per $1; heavy-agent-fleet tier

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Sources

paid value llm-providers

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