Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
36
Qwen3 235B 2507
33
Pick DeepSeek V3 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+6.2 difference
DeepSeek V3
Qwen3 235B 2507
$0.27 / $1.1
$0 / $0
N/A
N/A
N/A
N/A
128K
128K
Pick DeepSeek V3 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V3 has the cleaner provisional overall profile here, landing at 36 versus 33. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507. That is roughly Infinityx on output cost alone.
DeepSeek V3 is ahead on BenchLM's provisional leaderboard, 36 to 33. The biggest single separator in this matchup is GPQA, where the scores are 59.1% and 77.5%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 70. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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