LLM Inference Benchmark Explorer

MiniMax-M2.5 on DGX B300 — FP8, vLLM, TP2 inference benchmark

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ModelMiniMax-M2.5
Parameters229B
Intelligence Index22.8
Agentic Index—
DeviceDGX B300
QuantizationFP8
Max C32+
Chat Capacity126
Agentic Capacity31
TP2
DP—
PP—
EnginevLLM
Speculative Decoding—
CTTFT (ms)TPS (tok/s)Status
116966.84PASS
219453.63PASS
425151.22PASS
829744.15PASS
1642035.94PASS
3234029.57PASS

In OpenZeka's measurement, MiniMax-M2.5 (229B parameters), served in FP8 format with vLLM on DGX B300 (TP=2), reached a generation speed of 66.8 tok/s per request and a time to first token (TTFT) of 169 ms with a single request.

Considering the speed targets and the available KV cache capacity, the estimated capacity is 126 users for chat use and 31 for agentic use. The realistic capacity will likely fall between these two values. In scenarios dominated by coding, tool use, long workflows and multi-agent use, capacity approaches the agentic estimate; where shorter interactions, standard conversations and lighter tasks dominate, it approaches the chat estimate.

Intelligence Index and Agentic Index values are published by Artificial Analysis and are reproduced here with attribution.