Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
36
MiniMax M2.7
62
Pick MiniMax M2.7 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill.
Coding
+14.5 difference
DeepSeek V3
MiniMax M2.7
$0.27 / $1.1
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
128K
200K
Pick MiniMax M2.7 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill.
MiniMax M2.7 is clearly ahead on the provisional aggregate, 62 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.7's sharpest advantage is in coding, where it averages 53.7 against 39.2.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.
MiniMax M2.7 is ahead on BenchLM's provisional leaderboard, 62 to 36.
MiniMax M2.7 has the edge for coding in this comparison, averaging 53.7 versus 39.2. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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