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minimax-m1 OpenRouter price Model overview MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Context window 1,000,000 tokens
Knowledge cutoff —
Price last verified 2026-09-06
First observed 2026-08-11 Descriptions, capabilities, and tariffs come from the linked source. First-party prices take priority; OpenRouter fallbacks are labelled.
Current price Estimated API value in USD per million tokens, backed by OpenRouter's public Models API.
Input $0.55
Cached input —
Cache write 5m —
Cache write 1h —
Output $2.2 Capabilities and formats text frequency penalty include reasoning max tokens presence penalty reasoning repetition penalty seed stop temperature tool choice tools top k top p Performance references No comparable benchmark data is currently available.
PRICE EVOLUTION Price history Original observation and every later change, including any change of price source.
Original observed price Official price unavailable 2026-08-11
Input: — Cached input: — Cache write 5m: — Cache write 1h: — Output: —
Price change OpenRouter price 2026-08-20
Input: $0.55 Cached input: — Cache write 5m: — Cache write 1h: — Output: $2.2