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Model comparison

DeepSeek V4 Pro vs o1-pro

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.66/100
Margin
14.7pts
← winning
OpenAI
45.94/100
0 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); o1-pro #141 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro and o1-pro share 1 comparable benchmark result. 1 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Pro; 1 to o1-pro.

Updated July 23, 2026
Shared results
1
DeepSeek V4 Pro only
22
o1-pro only
1
Comparable categories
1 / 8

Pick DeepSeek V4 Pro if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 45.94. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro. That is roughly 689.7x on output cost alone. o1-pro is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for o1-pro.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Pro and o1-pro
CategoryDeepSeek V4 ProΔo1-pro
KnowledgeDeepSeek V4 Pro41.3Margin 37.7o1-pro79.0
AgenticDeepSeek V4 Pro59.1MarginNo overlapo1-proNot measured
CodingDeepSeek V4 Pro65.3MarginNo overlapo1-proNot measured
MathDeepSeek V4 Pro31.7MarginNo overlapo1-proNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 ProB · o1-pro
  1. GPQA

    Knowledge
    Source ↗
    A 72.9%B 79%
    Winner: o1-proΔ 6.1
    GPQA: DeepSeek V4 Pro scored 72.9%; o1-pro scored 79%. o1-pro wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Proo1-proComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputo1-pro$150 input / $600 outputDeepSeek V4 Pro has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 ProNot availableo1-proNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableo1-proNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1Mo1-pro200KDeepSeek V4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Proo1-proResult
Terminal-Bench 2.0Source 59.1%Not comparable
MCP AtlasSource 69.4%Not comparable
ToolathlonSource 46.3%Not comparable
Claw-EvalSource 59.8%Not comparable
Gert LabsSource 50.28%Not comparable
ResearchClawBenchSource 17.1%Not comparable
Coding
BenchmarkDeepSeek V4 Proo1-proResult
SWE-bench VerifiedSource 73.6%Not comparable
SWE-bench ProSource 52.1%Not comparable
SWE MultilingualSource 69.8%Not comparable
Terminal-Bench 2.0Source 59.1%Not comparable
Reasoning
BenchmarkDeepSeek V4 Proo1-proResult
MRCR 1MSource 44.7%Not comparable
CorpusQA 1MSource 35.6%Not comparable
Knowledgeo1-pro wins
BenchmarkDeepSeek V4 Proo1-proResult
MMLU-ProSource 82.9%Not comparable
SimpleQASource 45%Not comparable
Chinese-SimpleQASource 75.8%Not comparable
GPQASource 72.9%79%o1-pro leads
GPQA-DSource 72.9%Not comparable
HLESource 7.7%Not comparable
Artificial Analysis Intelligence IndexSource 18.9%Not comparable
Math
BenchmarkDeepSeek V4 Proo1-proResult
HMMT Feb 2026Source 31.7%Not comparable
IMOAnswerBenchSource 35.3%Not comparable
ApexSource 0.4%Not comparable
Apex ShortlistSource 9.2%Not comparable
Multimodal
BenchmarkDeepSeek V4 Proo1-proResult
Design Arena WebsiteSource 1264Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Pro or o1-pro?

DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 45.94. The biggest single separator in this matchup is GPQA, where the scores are 72.9% and 79%.

Which is better for knowledge tasks, DeepSeek V4 Pro or o1-pro?

o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 41.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 23, 2026

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