Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
Grok 4.20
76
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · Grok 4.20 unranked
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if you need the larger 2M context window.
Agentic
+16.2 difference
Coding
+12.7 difference
DeepSeek V4 Flash (Max)
Grok 4.20
$0.14 / $0.28
$2 / $6
N/A
233 t/s
N/A
10.33s
1M
2M
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if you need the larger 2M context window.
DeepSeek V4 Flash (Max) finishes one point ahead on BenchLM's provisional leaderboard, 77 to 76. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek V4 Flash (Max)'s sharpest advantage is in agentic, where it averages 63.3 against 47.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.9% to 47.1%.
Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 21.4x on output cost alone. Grok 4.20 gives you the larger context window at 2M, compared with 1M for DeepSeek V4 Flash (Max).
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.9% and 47.1%.
DeepSeek V4 Flash (Max) has the edge for coding in this comparison, averaging 73.7 versus 61. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (Max) has the edge for agentic tasks in this comparison, averaging 63.3 versus 47.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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