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Model comparison

Claude Mythos 5 vs DeepSeek V4 Pro (Max)

Data verified

Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

83.93/100
No comparison
N/A
4 category wins0 category wins

Public leaderboard positions: Claude Mythos 5 #1 (Supported); DeepSeek V4 Pro (Max) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Mythos 5 and DeepSeek V4 Pro (Max) share 7 comparable benchmark results. 4 of 8 categories are comparable. 8 results are unique to Claude Mythos 5; 41 to DeepSeek V4 Pro (Max).

Updated July 23, 2026
Shared results
7
Claude Mythos 5 only
8
DeepSeek V4 Pro (Max) only
41
Comparable categories
4 / 8

Treat this as a split decision. Claude Mythos 5 makes more sense if coding is the priority or you need the larger 1M+ context window; DeepSeek V4 Pro (Max) is the better fit if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 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

Claude Mythos 5 and DeepSeek V4 Pro (Max) 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.

Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 57.5x on output cost alone. Claude Mythos 5 gives you the larger context window at 1M+, compared with 1M for DeepSeek V4 Pro (Max).

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 Claude Mythos 5 and DeepSeek V4 Pro (Max)
CategoryClaude Mythos 5ΔDeepSeek V4 Pro (Max)
CodingClaude Mythos 589.7Margin← 18.8DeepSeek V4 Pro (Max)70.9
AgenticClaude Mythos 587.0Margin← 12.5DeepSeek V4 Pro (Max)74.5
KnowledgeClaude Mythos 568.5Margin← 8.4DeepSeek V4 Pro (Max)60.1
MathClaude Mythos 597.6Margin← 2.4DeepSeek V4 Pro (Max)95.2
MultimodalClaude Mythos 593.5MarginNo overlapDeepSeek V4 Pro (Max)Not measured

Decisive benchmark drivers

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

More
A · Claude Mythos 5B · DeepSeek V4 Pro (Max)

  1. HLE

    Knowledge
    Source ↗
    A 64.5%B 37.7%
    Winner: Claude Mythos 5Δ 26.8
    HLE: Claude Mythos 5 scored 64.5%; DeepSeek V4 Pro (Max) scored 37.7%. Claude Mythos 5 wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 80.3%B 55.4%
    Winner: Claude Mythos 5Δ 24.9
    SWE-bench Pro: Claude Mythos 5 scored 80.3%; DeepSeek V4 Pro (Max) scored 55.4%. Claude Mythos 5 wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 88%B 67.9%
    Winner: Claude Mythos 5Δ 20.1
    Terminal-Bench 2.0: Claude Mythos 5 scored 88%; DeepSeek V4 Pro (Max) scored 67.9%. Claude Mythos 5 wins this benchmark.

  4. SWE-bench Verified

    Coding
    Source ↗
    A 95.5%B 80.6%
    Winner: Claude Mythos 5Δ 14.9
    SWE-bench Verified: Claude Mythos 5 scored 95.5%; DeepSeek V4 Pro (Max) scored 80.6%. Claude Mythos 5 wins this benchmark.

  5. BrowseComp

    Agentic
    Source ↗
    A 88%B 83.4%
    Winner: Claude Mythos 5Δ 4.6
    BrowseComp: Claude Mythos 5 scored 88%; DeepSeek V4 Pro (Max) scored 83.4%. Claude Mythos 5 wins this benchmark.

Operational comparison

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

MetricClaude Mythos 5DeepSeek V4 Pro (Max)Comparison
Input / output priceUSD per 1M tokensClaude Mythos 5$10 input / $50 outputDeepSeek V4 Pro (Max)$0.435 input / $0.87 outputDeepSeek V4 Pro (Max) has the lower combined listed price.
Generation speedtokens per secondClaude Mythos 5Not availableDeepSeek V4 Pro (Max)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Mythos 5Not availableDeepSeek V4 Pro (Max)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Mythos 51M+DeepSeek V4 Pro (Max)1MClaude Mythos 5 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Mythos 5 wins
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
Terminal-Bench 2.0Source 88%67.9%Claude Mythos 5 leads
OSWorld-VerifiedSource 85%—Not comparable
BrowseCompSource 88%83.4%Claude Mythos 5 leads
ExploitGymSource 17.5%—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
CodingClaude Mythos 5 wins
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
SWE-bench VerifiedSource 95.5%80.6%Claude Mythos 5 leads
SWE-bench ProSource 80.3%55.4%Claude Mythos 5 leads
Terminal-Bench 2.0Source 88.0%67.9%Claude Mythos 5 leads
CodeforcesSource —3206.0Not comparable
SWE MultilingualSource —76.2%Not comparable
Vibe Code BenchSource —49.93%Not comparable
AA Coding IndexSource —59.4%Not comparable
AA-SciCodeSource —50.0%Not comparable
Reasoning
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
MRCR 1MSource —83.5%Not comparable
CorpusQA 1MSource —62.0%Not comparable
AA-LCRSource —66.3%Not comparable
CritPtSource —12.9%Not comparable
KnowledgeClaude Mythos 5 wins
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
GPQASource 94.1%90.1%Claude Mythos 5 leads
HLESource 64.5%37.7%Claude Mythos 5 leads
HLE w/o toolsSource 59%—Not comparable
MMLU-ProSource —87.5%Not comparable
SimpleQASource —57.9%Not comparable
Chinese-SimpleQASource —84.4%Not comparable
GPQA-DSource —90.1%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
MathClaude Mythos 5 wins
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
USAMO 2026Source 97.6%—Not comparable
HMMT Feb 2026Source —95.2%Not comparable
IMOAnswerBenchSource —89.8%Not comparable
ApexSource —38.3%Not comparable
Apex ShortlistSource —90.2%Not comparable
Multilingual
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
SWE MultilingualSource 92.2%—Not comparable
Multimodal
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
SWE-bench MultimodalSource 54.9%—Not comparable
CharXivSource 93.5%—Not comparable
CharXiv w/o toolsSource 88.9%—Not comparable
Design Arena WebsiteSource —1264Not comparable
Inst. Following
BenchmarkClaude Mythos 5DeepSeek V4 Pro (Max)Result
AA-IFBenchSource —76.5%Not comparable
Frequently Asked Questions (5)

Which is better, Claude Mythos 5 or DeepSeek V4 Pro (Max)?

Claude Mythos 5 and DeepSeek V4 Pro (Max) 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, Claude Mythos 5 or DeepSeek V4 Pro (Max)?

Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 60.1. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Mythos 5 or DeepSeek V4 Pro (Max)?

Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 70.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for math, Claude Mythos 5 or DeepSeek V4 Pro (Max)?

Claude Mythos 5 has the edge for math in this comparison, averaging 97.6 versus 95.2. DeepSeek V4 Pro (Max) stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Claude Mythos 5 or DeepSeek V4 Pro (Max)?

Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 74.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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