Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.1 (Reasoning)
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MiniMax M2.5
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Benchmark data for DeepSeek V3.1 (Reasoning) and MiniMax M2.5 is coming soon on BenchLM.
DeepSeek V3.1 (Reasoning)
MiniMax M2.5
$0 / $0
$0.3 / $1.2
N/A
46 t/s
N/A
2.12s
128K
128K
Benchmark data for DeepSeek V3.1 (Reasoning) and MiniMax M2.5 is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for DeepSeek V3.1 (Reasoning) and MiniMax M2.5 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
MiniMax M2.5 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1 (Reasoning).
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
DeepSeek V3.1 (Reasoning): $0.00 input / $0.00 output per 1M tokens MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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