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Model comparison

Agents-A1 vs Claude Mythos 5

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Agents-A1
InternScience
N/A
No comparison
83.93/100
0 category wins2 category wins

Public leaderboard positions: Agents-A1 unranked (Not scored); Claude Mythos 5 #1 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Agents-A1 and Claude Mythos 5 share 2 comparable benchmark results. 2 of 8 categories are comparable. 4 results are unique to Agents-A1; 13 to Claude Mythos 5.

Updated July 23, 2026
Shared results
2
Agents-A1 only
4
Claude Mythos 5 only
13
Comparable categories
2 / 8

Treat this as a split decision. Agents-A1 makes more sense if its workflow fits your team better; Claude Mythos 5 is the better fit if knowledge is the priority or you need the larger 1M+ context window.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Agents-A1 and Claude Mythos 5 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 gives you the larger context window at 1M+, compared with 262K for Agents-A1.

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 Agents-A1 and Claude Mythos 5
CategoryAgents-A1ΔClaude Mythos 5
KnowledgeAgents-A147.6Margin→ 20.9Claude Mythos 568.5
AgenticAgents-A175.5Margin→ 11.5Claude Mythos 587.0
CodingAgents-A1Not measuredMarginNo overlapClaude Mythos 589.7
ReasoningAgents-A160.2MarginNo overlapClaude Mythos 5Not measured
MathAgents-A1Not measuredMarginNo overlapClaude Mythos 597.6
MultimodalAgents-A1Not measuredMarginNo overlapClaude Mythos 593.5
Inst. FollowingAgents-A194.8MarginNo overlapClaude Mythos 5Not measured

Decisive benchmark drivers

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

More
A · Agents-A1B · Claude Mythos 5

  1. HLE

    Knowledge
    Source ↗
    A 47.6%B 64.5%
    Winner: Claude Mythos 5Δ 16.9
    HLE: Agents-A1 scored 47.6%; Claude Mythos 5 scored 64.5%. Claude Mythos 5 wins this benchmark.

  2. BrowseComp

    Agentic
    Source ↗
    A 75.5%B 88%
    Winner: Claude Mythos 5Δ 12.5
    BrowseComp: Agents-A1 scored 75.5%; Claude Mythos 5 scored 88%. Claude Mythos 5 wins this benchmark.

Operational comparison

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

MetricAgents-A1Claude Mythos 5Comparison
Input / output priceUSD per 1M tokensAgents-A1Not availableClaude Mythos 5$10 input / $50 outputA complete price comparison is not available.
Generation speedtokens per secondAgents-A1Not availableClaude Mythos 5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenAgents-A1Not availableClaude Mythos 5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensAgents-A1262KClaude Mythos 51M+Claude Mythos 5 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Mythos 5 wins
BenchmarkAgents-A1Claude Mythos 5Result
BrowseCompSource 75.5%88%Claude Mythos 5 leads
HLE w/ toolsSource 47.6%—Not comparable
VITA-BenchSource 38.8%—Not comparable
Terminal-Bench 2.0Source —88%Not comparable
OSWorld-VerifiedSource —85%Not comparable
ExploitGymSource —17.5%Not comparable
Coding
BenchmarkAgents-A1Claude Mythos 5Result
SWE-bench VerifiedSource —95.5%Not comparable
SWE-bench ProSource —80.3%Not comparable
Terminal-Bench 2.0Source —88.0%Not comparable
Reasoning
BenchmarkAgents-A1Claude Mythos 5Result
LongBench v2Source 60.2%—Not comparable
KnowledgeClaude Mythos 5 wins
BenchmarkAgents-A1Claude Mythos 5Result
HLESource 47.6%64.5%Claude Mythos 5 leads
GPQASource —94.1%Not comparable
HLE w/o toolsSource —59%Not comparable
Math
BenchmarkAgents-A1Claude Mythos 5Result
USAMO 2026Source —97.6%Not comparable
Multilingual
BenchmarkAgents-A1Claude Mythos 5Result
SWE MultilingualSource —92.2%Not comparable
Multimodal
BenchmarkAgents-A1Claude Mythos 5Result
SWE-bench MultimodalSource —54.9%Not comparable
CharXivSource —93.5%Not comparable
CharXiv w/o toolsSource —88.9%Not comparable
Inst. Following
BenchmarkAgents-A1Claude Mythos 5Result
IFEvalSource 94.8%—Not comparable
Frequently Asked Questions (3)

Which is better, Agents-A1 or Claude Mythos 5?

Agents-A1 and Claude Mythos 5 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, Agents-A1 or Claude Mythos 5?

Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 47.6. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Agents-A1 or Claude Mythos 5?

Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 75.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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