Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.2 (Thinking)
63
GPT-4.1 mini
46
Benchmark data for DeepSeek V3.2 (Thinking) and GPT-4.1 mini is coming soon on BenchLM.
DeepSeek V3.2 (Thinking)
GPT-4.1 mini
$0.55 / $2.19
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
128K
1M
Benchmark data for DeepSeek V3.2 (Thinking) and GPT-4.1 mini 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.
DeepSeek V3.2 (Thinking) is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. GPT-4.1 mini has the larger context window at 1M, compared with 128K for DeepSeek V3.2 (Thinking).
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 V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens GPT-4.1 mini: $0.40 input / $1.60 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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