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BenchLM

Scale Labs MCP Atlas (MCP Atlas)

We show this table for reference; we do not rank on it.

A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.

Scale score on MCP Atlas — September 29, 2026 snapshot

We mirror the published scale score view for MCP Atlas. Muse Spark 1.1 leads the public snapshot at 88.1%, followed by Fable 5.1 (87.2%) and claude-opus-5 (xhigh) (85.8%). We do not use these results to rank models overall.

34 modelsAgenticCurrentDisplay onlyUpdated September 29, 2026 snapshot

Scale score table (34 models)

Score
1
Muse Spark 1.1Meta · Closed
88.1%
2
Fable 5.1Anthropic
87.2%
3
85.8%
5
GLM-5.3Z.AI · Open weight
84.2%
7
Claude Fable 5Anthropic · Closed
83.3%
8
82.3%
9
82.2%
10
Muse SparkMeta · Closed
82.2%
11
81.8%
12
Inkling-SmallThinking Machines Lab · Open weight
79.2%
13
79.1%
15
77.8%
16
76.8%
17
Inkling (xHigh)Thinkingmachines
76%
18
75.6%
19
75.3%
20
70.6%
22
69.8%
23
Claude Sonnet 4.6Anthropic · Closed
69.5%
24
67.6%
25
64.4%
29
58.1%
32
50.1%
33
o3-proOpenAI · Closed
44.5%
34
Claude Haiku 4.5Anthropic · Closed
40.2%

How to read this leaderboard

Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.

Operator receipt: 34 sourced rows are currently displayable on this page; the leading published row is Muse Spark 1.1 at 88.1%.

Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.

How BenchLM shows MCP Atlas

BenchLM mirrors 34 published rows from Scale Labs’ public MCP Atlas leaderboard, captured on September 29, 2026 snapshot.

The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings.

Snapshot

34 published rowsScale Labs sourceDisplay only

The published MCP Atlas snapshot places Muse Spark 1.1 first at 88.1%. The third row is 2.3 points behind. The broader top-10 range is 5.9 points, so many of the published results sit in a relatively narrow band.

34 models have been evaluated on MCP Atlas. The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. MCP Atlas is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MCP Atlas

Year

2026

Tasks

34 published rows

Format

Published Scale leaderboard score

Difficulty

External agent and model evaluation

BenchLM mirrors 34 published rows from the MCP Atlas public table captured on September 29, 2026 snapshot.

Freshness and provenance

Version

MCP Atlas 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does MCP Atlas measure?

A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.

Which model leads the published MCP Atlas snapshot?

Muse Spark 1.1 currently leads the published MCP Atlas snapshot with 88.1% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on MCP Atlas?

The September 29, 2026 snapshot snapshot contains 34 AI models.

Last updated: September 29, 2026 snapshot · mirrored from the public benchmark leaderboard

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

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