Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
MiniMax M2.7
63
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · MiniMax M2.7 unranked
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+17.0 difference
Coding
+22.2 difference
DeepSeek V4 Pro (Max)
MiniMax M2.7
$1.74 / $3.48
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
1M
200K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max)'s sharpest advantage is in coding, where it averages 75.9 against 53.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 67.9% to 57%.
DeepSeek V4 Pro (Max) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 2.9x on output cost alone. DeepSeek V4 Pro (Max) is the reasoning model in the pair, while MiniMax M2.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 67.9% and 57%.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 53.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.