Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek-R1
--
MiniMax M2.7
62
Benchmark data for DeepSeek-R1 and MiniMax M2.7 is coming soon on BenchLM.
DeepSeek-R1
MiniMax M2.7
$0.55 / $2.19
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
128K
200K
Benchmark data for DeepSeek-R1 and MiniMax M2.7 is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for DeepSeek-R1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
DeepSeek-R1 is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. MiniMax M2.7 has the larger context window at 200K, compared with 128K for DeepSeek-R1.
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-R1: $0.55 input / $2.19 output per 1M tokens MiniMax M2.7: $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.
Estimates at 50,000 req/day · 1000 tokens/req average.
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