Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
Qwen3.5 397B (Reasoning)
78
Verified leaderboard positions: DeepSeek V4 Pro (High) #10 · Qwen3.5 397B (Reasoning) unranked
Benchmark data for DeepSeek V4 Pro (High) and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.
DeepSeek V4 Pro (High)
Qwen3.5 397B (Reasoning)
$1.74 / $3.48
$0.6 / $3.6
N/A
N/A
N/A
N/A
1M
128K
Benchmark data for DeepSeek V4 Pro (High) and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.5 397B (Reasoning) is priced at $0.60 input / $3.60 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (High). DeepSeek V4 Pro (High) has the larger context window at 1M, compared with 128K for Qwen3.5 397B (Reasoning).
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
DeepSeek V4 Pro (High): $1.74 input / $3.48 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.