Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
GPT-5.3 Codex
87
Pick GPT-5.3 Codex if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill.
Coding
+21.5 difference
Gemma 4 31B
GPT-5.3 Codex
$0 / $0
$1.75 / $14
N/A
79 t/s
N/A
88.26s
256K
400K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 87 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex's sharpest advantage is in coding, where it averages 63.1 against 41.6. The single biggest benchmark swing on the page is SWE-Rebench, 41.6% to 58.2%.
GPT-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. GPT-5.3 Codex gives you the larger context window at 400K, compared with 256K for Gemma 4 31B.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 87 to 65. The biggest single separator in this matchup is SWE-Rebench, where the scores are 41.6% and 58.2%.
GPT-5.3 Codex has the edge for coding in this comparison, averaging 63.1 versus 41.6. Inside this category, SWE-Rebench is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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