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Comparison of multilingual-e5-large-instruct, MiniMax: MiniMax M2.1, LiquidAI: d1-ultra
3 modelsintfloatmultilingual-e5-large-instructRemove ×minimaxMiniMax: MiniMax M2.1Remove ×liquidLiquidAI: d1-ultraRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a…d1-ultra is Liquid AI's largest decision model, served as a System One endpoint. Send a state of text and images along with typed questions, and it returns a choice, a...
DateApr 17, 2025ListedDec 23, 2025ListedOct 15, 2026Listed
Listed rateSee provider quotes$0.30 in / $1.20 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax/fp8 · quantization=fp8$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →3 endpoints →1 endpoint →
Context window512204.8K32.8K
Max output—131.1K29.5K
Parameters———
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedNot reportedSupported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedSupported
Open weightsNot reportedSupportedNot reported

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