Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
Laguna XS.2
32
Verified leaderboard positions: DeepSeek V4 Pro (High) #7 · Laguna XS.2 unranked
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
Agentic
+39.9 difference
Coding
+20.5 difference
DeepSeek V4 Pro (High)
Laguna XS.2
$1.74 / $3.48
$0 / $0
N/A
N/A
N/A
N/A
1M
131K
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Pro (High) is clearly ahead on the provisional aggregate, 83 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in agentic, where it averages 70 against 30.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.3% to 30.1%.
DeepSeek V4 Pro (High) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 131K for Laguna XS.2.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 32. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.3% and 30.1%.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 53.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70 versus 30.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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