MCP-Tasks (MCP-Tasks)

A Model Context Protocol task benchmark used in Qwen's launch tables to measure practical execution over MCP-style tools and integrations.

Top Models on MCP-Tasks — March 2026

As of March 2026, Qwen3.5 397B leads the MCP-Tasks leaderboard with 74.2% , followed by Qwen3.6 Plus (74.1%) and Claude Opus 4.5 (71.8%).

5 modelsAgenticCurrentDisplay onlyUpdated April 2, 2026

According to BenchLM.ai, Qwen3.5 397B leads the MCP-Tasks benchmark with a score of 74.2%, followed by Qwen3.6 Plus (74.1%) and Claude Opus 4.5 (71.8%). The top models are clustered within 2.4 points, suggesting this benchmark is nearing saturation for frontier models.

5 models have been evaluated on MCP-Tasks. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. MCP-Tasks is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MCP-Tasks

Year

2026

Tasks

MCP-integrated tool tasks

Format

Interactive tool-use evaluation

Difficulty

Advanced MCP workflows

MCP-Tasks is distinct from MCP Atlas in the Qwen3.6 comparisons. BenchLM keeps it separate until a fuller public benchmark specification is available because it appears to represent a different task protocol and score scale.

Qwen3.6 launch benchmarks

BenchLM freshness & provenance

Version

MCP-Tasks 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.

Leaderboard (5 models)

#1Qwen3.5 397B
74.2%
#2Qwen3.6 Plus
74.1%
#3Claude Opus 4.5
71.8%
#4GLM-5
60.8%
#5Kimi K2.5
59.1%

FAQ

What does MCP-Tasks measure?

A Model Context Protocol task benchmark used in Qwen's launch tables to measure practical execution over MCP-style tools and integrations.

Which model scores highest on MCP-Tasks?

Qwen3.5 397B by Alibaba currently leads with a score of 74.2% on MCP-Tasks.

How many models are evaluated on MCP-Tasks?

5 AI models have been evaluated on MCP-Tasks on BenchLM.

Last updated: April 2, 2026 · BenchLM version MCP-Tasks 2026

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