Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of MiniMax: MiniMax-01, MiniMax: MiniMax M2.7, remove_background_guided
3 modelsminimaxMiniMax: MiniMax-01Remove ×minimaxMiniMax: MiniMax M2.7Remove ×Briaremove_background_guidedRemove ×
What’s differentMiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a…MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates…Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained…
DateJan 15, 2025ListedMar 18, 2026ListedOct 14, 2026Listed
Listed rate$0.20 in / $1.10 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax$0.21 in / $0.84 out/ 1M tokensGMICloud · via OpenRouter · all routes ↗gmicloud/fp8 · quantization=fp8See provider quotes
Provider endpoints2 endpoints →10 endpoints →0 endpoints →
Context window1M204.8K—
Max output900.2K131.1K—
Parameters———
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputSupportedNot reportedNot reported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported
Open weightsSupportedSupportedNot reported

Add another model

Search all models →