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Model comparison

Claude Mythos 5 vs Claude Opus 4.7 (Adaptive)

Data verified

Head-to-head evidence from 11 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

83.93/100
Margin
17.7pts
← winning
66.27/100
4 category wins0 category wins

Public leaderboard positions: Claude Mythos 5 #1 (Supported); Claude Opus 4.7 (Adaptive) #27 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Mythos 5 and Claude Opus 4.7 (Adaptive) share 11 comparable benchmark results. 4 of 8 categories are comparable. 4 results are unique to Claude Mythos 5; 27 to Claude Opus 4.7 (Adaptive).

Updated July 23, 2026
Shared results
11
Claude Mythos 5 only
4
Claude Opus 4.7 (Adaptive) only
27
Comparable categories
4 / 8

Pick Claude Mythos 5 if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 11 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

Claude Mythos 5 is clearly ahead on the BenchAlign aggregate, 83.93 to 66.27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Mythos 5's sharpest advantage is in multimodal & grounded, where it averages 93.5 against 65.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 88% to 69.4%.

Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $5.00 input / $25.00 output per 1M tokens for Claude Opus 4.7 (Adaptive). That is roughly 2.0x on output cost alone. Claude Mythos 5 gives you the larger context window at 1M+, compared with 1M for Claude Opus 4.7 (Adaptive).

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 Claude Opus 4.7 (Adaptive)
CategoryClaude Mythos 5ΔClaude Opus 4.7 (Adaptive)
MultimodalClaude Mythos 593.5Margin← 28.4Claude Opus 4.7 (Adaptive)65.1
AgenticClaude Mythos 587.0Margin← 11.9Claude Opus 4.7 (Adaptive)75.1
CodingClaude Mythos 589.7Margin← 11.1Claude Opus 4.7 (Adaptive)78.6
KnowledgeClaude Mythos 568.5Margin← 8.5Claude Opus 4.7 (Adaptive)60.0
ReasoningClaude Mythos 5Not measuredMarginNo overlapClaude Opus 4.7 (Adaptive)75.8
MathClaude Mythos 597.6MarginNo overlapClaude Opus 4.7 (Adaptive)Not measured

Decisive benchmark drivers

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

More
A · Claude Mythos 5B · Claude Opus 4.7 (Adaptive)

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 88%B 69.4%
    Winner: Claude Mythos 5Δ 18.6
    Terminal-Bench 2.0: Claude Mythos 5 scored 88%; Claude Opus 4.7 (Adaptive) scored 69.4%. Claude Mythos 5 wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 80.3%B 64.3%
    Winner: Claude Mythos 5Δ 16
    SWE-bench Pro: Claude Mythos 5 scored 80.3%; Claude Opus 4.7 (Adaptive) scored 64.3%. Claude Mythos 5 wins this benchmark.

  3. HLE

    Knowledge
    Source ↗
    A 64.5%B 54.7%
    Winner: Claude Mythos 5Δ 9.8
    HLE: Claude Mythos 5 scored 64.5%; Claude Opus 4.7 (Adaptive) scored 54.7%. Claude Mythos 5 wins this benchmark.

  4. BrowseComp

    Agentic
    Source ↗
    A 88%B 79.3%
    Winner: Claude Mythos 5Δ 8.7
    BrowseComp: Claude Mythos 5 scored 88%; Claude Opus 4.7 (Adaptive) scored 79.3%. Claude Mythos 5 wins this benchmark.

  5. SWE-bench Verified

    Coding
    Source ↗
    A 95.5%B 87.6%
    Winner: Claude Mythos 5Δ 7.9
    SWE-bench Verified: Claude Mythos 5 scored 95.5%; Claude Opus 4.7 (Adaptive) scored 87.6%. 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 5Claude Opus 4.7 (Adaptive)Comparison
Input / output priceUSD per 1M tokensClaude Mythos 5$10 input / $50 outputClaude Opus 4.7 (Adaptive)$5 input / $25 outputClaude Opus 4.7 (Adaptive) has the lower combined listed price.
Generation speedtokens per secondClaude Mythos 5Not availableClaude Opus 4.7 (Adaptive)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Mythos 5Not availableClaude Opus 4.7 (Adaptive)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Mythos 51M+Claude Opus 4.7 (Adaptive)1MClaude Mythos 5 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Mythos 5 wins
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
Terminal-Bench 2.0Source 88%69.4%Claude Mythos 5 leads
OSWorld-VerifiedSource 85%78%Claude Mythos 5 leads
BrowseCompSource 88%79.3%Claude Mythos 5 leads
ExploitGymSource 17.5%—Not comparable
MCP AtlasSource —77.3%Not comparable
CyberGymSource —73.1%Not comparable
AA Agentic IndexSource —44.4%Not comparable
τ²-bench resultsSource —88.6%Not comparable
GDPval-AASource —49.8%Not comparable
GDPval-AASource —1495Not comparable
OSWorld 2.0Source —18.2%Not comparable
JobBenchSource —45.9%Not comparable
AA ITBenchSource —46.7%Not comparable
CodingClaude Mythos 5 wins
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
SWE-bench VerifiedSource 95.5%87.6%Claude Mythos 5 leads
SWE-bench ProSource 80.3%64.3%Claude Mythos 5 leads
Terminal-Bench 2.0Source 88.0%69.4%Claude Mythos 5 leads
AA Coding IndexSource —73.6%Not comparable
AA-SciCodeSource —54.5%Not comparable
Reasoning
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
MRCR v2 128K-256KSource —59.2%Not comparable
ARC-AGI-2Source —75.8%Not comparable
AA-LCRSource —70.3%Not comparable
CritPtSource —12.0%Not comparable
KnowledgeClaude Mythos 5 wins
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
GPQASource 94.1%94.2%Claude Opus 4.7 (Adaptive) leads
HLESource 64.5%54.7%Claude Mythos 5 leads
HLE w/o toolsSource 59%46.9%Claude Mythos 5 leads
GPQA-DSource —94.2%Not comparable
Artificial Analysis Intelligence IndexSource —53.5%Not comparable
AA-GPQA DiamondSource —91.4%Not comparable
AA-HLESource —39.6%Not comparable
AA-Omniscience IndexSource —26.2%Not comparable
AA-Omniscience AccuracySource —45.8%Not comparable
AA-Omniscience Hallucination RateSource —36.2%Not comparable
Math
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
USAMO 2026Source 97.6%—Not comparable
FrontierMath (legacy)Source —43.8%Not comparable
Multilingual
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
SWE MultilingualSource 92.2%—Not comparable
MultimodalClaude Mythos 5 wins
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
SWE-bench MultimodalSource 54.9%—Not comparable
CharXivSource 93.5%91%Claude Mythos 5 leads
CharXiv w/o toolsSource 88.9%82.1%Claude Mythos 5 leads
OfficeQA ProSource —43.6%Not comparable
AA-MMMU-ProSource —78.8%Not comparable
Design Arena WebsiteSource —1325Not comparable
Inst. Following
BenchmarkClaude Mythos 5Claude Opus 4.7 (Adaptive)Result
AA-IFBenchSource —58.6%Not comparable
Frequently Asked Questions (5)

Which is better, Claude Mythos 5 or Claude Opus 4.7 (Adaptive)?

Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 66.27. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 88% and 69.4%.

Which is better for knowledge tasks, Claude Mythos 5 or Claude Opus 4.7 (Adaptive)?

Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 60. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Mythos 5 or Claude Opus 4.7 (Adaptive)?

Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 78.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Mythos 5 or Claude Opus 4.7 (Adaptive)?

Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 75.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Mythos 5 or Claude Opus 4.7 (Adaptive)?

Claude Mythos 5 has the edge for multimodal and grounded tasks in this comparison, averaging 93.5 versus 65.1. Inside this category, CharXiv w/o tools is the benchmark that creates the most daylight between them.

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