Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
GPT-5.3 Codex
88
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · GPT-5.3 Codex unranked
Pick GPT-5.3 Codex if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+2.5 difference
Coding
+12.8 difference
DeepSeek V4 Pro (Max)
GPT-5.3 Codex
$1.74 / $3.48
$1.75 / $14
N/A
79 t/s
N/A
88.26s
1M
400K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. DeepSeek V4 Pro (Max) only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.3 Codex finishes one point ahead on BenchLM's provisional leaderboard, 88 to 87. 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.
GPT-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 4.0x on output cost alone. DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 88 to 87. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 67.9% and 77.3%.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 63.1. 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 71.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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