Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
35
MiniMax M3
76
Verified leaderboard positions: DeepSeek V3 unranked · MiniMax M3 #12
Pick MiniMax M3 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill.
Coding
+27.8 difference
DeepSeek V3
MiniMax M3
$0.27 / $1.1
$0.3 / $1.2
N/A
N/A
N/A
N/A
128K
1M
Pick MiniMax M3 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in coding, where it averages 67 against 39.2. The single biggest benchmark swing on the page is SWE-bench Verified, 42% to 80.5%.
MiniMax M3 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 M3 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 35. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 42% and 80.5%.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 39.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.