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MiniMax
minimax/minimax-m3.1-flashCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
MiniMax minimax/minimax-m3.1-flash
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
MiniMax M3.1 Flash earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GLM 5.2 instead - $0.01 per million input tokens against $0.15 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs MiniMax M3.1 Flash
targets:
- id: minimax-m3-1-flash
kind: llm
name: MiniMax M3.1 Flash
metadata:
model: minimax/minimax-m3.1-flash # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.000375Input list price per million tokens; MiniMax M3.1 Flash is the cheapest of 9 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.01 per 1M · weights on Hugging Face as MiniMaxAI/MiniMax-M3.1-Flash
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.