BenchLM recommendation
Best DeepSeek Models in 2026
As of July 20, 2026, the top model in best deepseek models on the BenchLM leaderboard is DeepSeek V4 Pro with a score of 60.7.
Last verified: July 20, 2026
All DeepSeek models ranked by benchmark performance.
Unless noted otherwise, ranking surfaces on this page use BenchLM's provisional leaderboard lane rather than the stricter sourced-only verified leaderboard.
Bottom line: DeepSeek models are open-weight and free or nearly free. DeepSeek V3.2 (Thinking) leads the lineup. Strong on math and reasoning, competitive with mid-tier proprietary models.
DeepSeek V4 Pro leads this ranking with a score of 60.7, followed by DeepSeek V4 Flash (58.9) and DeepSeek V3.2 (Thinking) (58.2). The top three are separated by just a few points — any of them would perform well for this use case.
All models in this ranking are open-weight, meaning they can be self-hosted for maximum control and cost efficiency.
This ranking is based on provisional overall weighted scores across BenchLM.ai's scoring formula tracked by BenchLM.ai. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
What changed
DeepSeek V3.2 (Thinking) leads DeepSeek's lineup — best on knowledge (70) and agentic (69).
DeepSeek V3.2 non-reasoning variant with strong math (71) and multilingual (69).
DeepSeek Coder 2.0 coding-focused with strong math (71) and agentic (65).
How to choose
Full Rankings (14 models)
Key Takeaways
The top model is DeepSeek V4 Pro by DeepSeek with a BenchAlign v5 score of 60.7 and Supported evidence.
The best open-weight model is DeepSeek V4 Pro at position #1.
14 models are included in this ranking.
Score in Context
What these scores mean
Models are ranked by the same overall BenchLM score used across all leaderboards. Comparing within DeepSeek's lineup helps identify which model fits your use case and budget.
Known limitations
This page only shows DeepSeek models. Cross-provider comparison requires the overall or category-specific leaderboards. Newer models may have limited benchmark coverage initially.
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