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Model comparison

DeepSeek V4 Pro (Max) vs MAI-Thinking-1

Data verified

Head-to-head evidence from 9 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
N/A
3 category wins1 category wins

Evidence parity. DeepSeek V4 Pro (Max) and MAI-Thinking-1 share 9 comparable benchmark results. 4 of 8 categories are comparable. 39 results are unique to DeepSeek V4 Pro (Max); 4 to MAI-Thinking-1.

Updated July 23, 2026
Shared results
9
DeepSeek V4 Pro (Max) only
39
MAI-Thinking-1 only
4
Comparable categories
4 / 8

Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if agentic is the priority or you need the larger 1M context window; MAI-Thinking-1 is the better fit if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 4 evidence categories; 4 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 (Max) and MAI-Thinking-1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.

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 (Max) and MAI-Thinking-1
CategoryDeepSeek V4 Pro (Max)ΔMAI-Thinking-1
AgenticDeepSeek V4 Pro (Max)74.5Margin 28.5MAI-Thinking-146.0
KnowledgeDeepSeek V4 Pro (Max)60.1Margin 12.4MAI-Thinking-172.5
MathDeepSeek V4 Pro (Max)95.2Margin 5.5MAI-Thinking-189.7
CodingDeepSeek V4 Pro (Max)70.9Margin 5.4MAI-Thinking-165.5
Inst. FollowingDeepSeek V4 Pro (Max)Not measuredMarginNo overlapMAI-Thinking-185.0

Decisive benchmark drivers

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

More
A · DeepSeek V4 Pro (Max)B · MAI-Thinking-1
  1. SimpleQA

    Knowledge
    Source ↗
    A 57.9%B 31%
    Winner: DeepSeek V4 Pro (Max)Δ 26.9
    SimpleQA: DeepSeek V4 Pro (Max) scored 57.9%; MAI-Thinking-1 scored 31%. DeepSeek V4 Pro (Max) wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 67.9%B 46%
    Winner: DeepSeek V4 Pro (Max)Δ 21.9
    Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; MAI-Thinking-1 scored 46%. DeepSeek V4 Pro (Max) wins this benchmark.
  3. HMMT Feb 2026

    Math
    Source ↗
    A 95.2%B 84.9%
    Winner: DeepSeek V4 Pro (Max)Δ 10.3
    HMMT Feb 2026: DeepSeek V4 Pro (Max) scored 95.2%; MAI-Thinking-1 scored 84.9%. DeepSeek V4 Pro (Max) wins this benchmark.
  4. SWE-bench Verified

    Coding
    Source ↗
    A 80.6%B 73.5%
    Winner: DeepSeek V4 Pro (Max)Δ 7.1
    SWE-bench Verified: DeepSeek V4 Pro (Max) scored 80.6%; MAI-Thinking-1 scored 73.5%. DeepSeek V4 Pro (Max) wins this benchmark.
  5. GPQA

    Knowledge
    Source ↗
    A 90.1%B 84.2%
    Winner: DeepSeek V4 Pro (Max)Δ 5.9
    GPQA: DeepSeek V4 Pro (Max) scored 90.1%; MAI-Thinking-1 scored 84.2%. DeepSeek V4 Pro (Max) wins this benchmark.

Operational comparison

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

MetricDeepSeek V4 Pro (Max)MAI-Thinking-1Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro (Max)$0.435 input / $0.87 outputMAI-Thinking-1Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro (Max)Not availableMAI-Thinking-1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro (Max)Not availableMAI-Thinking-1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro (Max)1MMAI-Thinking-1256KDeepSeek V4 Pro (Max) lists the larger context window.

Benchmark Deep Dive

AgenticDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
Terminal-Bench 2.0Source 67.9%46%DeepSeek V4 Pro (Max) leads
BrowseCompSource 83.4%Not comparable
HLE w/ toolsSource 48.2%Not comparable
MCP AtlasSource 73.6%Not comparable
GDPval-AASource 1307Not comparable
ToolathlonSource 51.8%Not comparable
AA Agentic IndexSource 36.4%Not comparable
APEX-Agents-AASource 24.3%Not comparable
τ²-bench resultsSource 96.2%Not comparable
GDPval-AASource 40.4%Not comparable
AA BriefcaseSource 932Not comparable
AA EnterpriseOps-GymSource 40.4%Not comparable
AA Harvey LABSource 84.4%Not comparable
AA ITBenchSource 38.3%Not comparable
AA Tau3 BankingSource 25.8%Not comparable
terminalBenchHardSource 46.2%Not comparable
aaTerminalBench21Source 64%Not comparable
CodingDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
CodeforcesSource 3206.0Not comparable
SWE-bench VerifiedSource 80.6%73.5%DeepSeek V4 Pro (Max) leads
SWE-bench ProSource 55.4%52.8%DeepSeek V4 Pro (Max) leads
SWE MultilingualSource 76.2%Not comparable
Terminal-Bench 2.0Source 67.9%46.0%DeepSeek V4 Pro (Max) leads
Vibe Code BenchSource 49.93%Not comparable
AA Coding IndexSource 59.4%Not comparable
AA-SciCodeSource 50.0%Not comparable
Reasoning
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
MRCR 1MSource 83.5%Not comparable
CorpusQA 1MSource 62.0%Not comparable
AA-LCRSource 66.3%Not comparable
CritPtSource 12.9%Not comparable
Graphwalks BFS 128KSource 90%Not comparable
KnowledgeMAI-Thinking-1 wins
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
MMLU-ProSource 87.5%85%DeepSeek V4 Pro (Max) leads
SimpleQASource 57.9%31%DeepSeek V4 Pro (Max) leads
Chinese-SimpleQASource 84.4%Not comparable
GPQASource 90.1%84.2%DeepSeek V4 Pro (Max) leads
GPQA-DSource 90.1%84.2%DeepSeek V4 Pro (Max) leads
HLESource 37.7%Not comparable
Artificial Analysis Intelligence IndexSource 44.3%Not comparable
AA-GPQA DiamondSource 88.8%Not comparable
AA-HLESource 35.9%Not comparable
AA-Omniscience IndexSource -10.0%Not comparable
AA-Omniscience AccuracySource 43.3%Not comparable
AA-Omniscience Hallucination RateSource 94.0%Not comparable
AA Openness IndexSource 50.0%Not comparable
MathDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
HMMT Feb 2026Source 95.2%84.9%DeepSeek V4 Pro (Max) leads
IMOAnswerBenchSource 89.8%Not comparable
ApexSource 38.3%Not comparable
Apex ShortlistSource 90.2%Not comparable
AIME 2025Source 97%Not comparable
AIME26Source 94.5%Not comparable
Multimodal
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
Design Arena WebsiteSource 1264Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro (Max)MAI-Thinking-1Result
AA-IFBenchSource 76.5%Not comparable
IFBenchSource 85%Not comparable
Frequently Asked Questions (5)

Which is better, DeepSeek V4 Pro (Max) or MAI-Thinking-1?

DeepSeek V4 Pro (Max) and MAI-Thinking-1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, DeepSeek V4 Pro (Max) or MAI-Thinking-1?

MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 72.5 versus 60.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V4 Pro (Max) or MAI-Thinking-1?

DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 versus 65.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for math, DeepSeek V4 Pro (Max) or MAI-Thinking-1?

DeepSeek V4 Pro (Max) has the edge for math in this comparison, averaging 95.2 versus 89.7. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro (Max) or MAI-Thinking-1?

DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74.5 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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