Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
75
Qwen3.5 397B (Reasoning)
78
Verified leaderboard positions: DeepSeek V4 Flash (Max) #17 · Qwen3.5 397B (Reasoning) unranked
Benchmark data for DeepSeek V4 Flash (Max) and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.
DeepSeek V4 Flash (Max)
Qwen3.5 397B (Reasoning)
$0.14 / $0.28
$0.6 / $3.6
N/A
N/A
N/A
N/A
1M
128K
Benchmark data for DeepSeek V4 Flash (Max) 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 $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). DeepSeek V4 Flash (Max) 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 Flash (Max): $0.14 input / $0.28 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.
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