Skip to main content
BenchLM
Advertise

Benchmark profile

MCP-Tasks

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

Data verified

Benchmark score on MCP-Tasks — July 23, 2026

BenchLM mirrors the published score view for MCP-Tasks. Qwen3.5 397B leads the public snapshot at 74.2% , followed by Qwen3.6 Plus (74.1%) and Claude Opus 4.5 (71.8%). BenchLM does not use these results to rank models overall.

1Open

Qwen3.5 397B

Alibaba

qwen3-5-397b

74.2%
Overall 57.01Context 128K
2Closed

Qwen3.6 Plus

Alibaba

qwen3-6-plus

74.1%
Overall 65.2Context 1M
3Closed

Claude Opus 4.5

Anthropic

claude-opus-4-5

71.8%
Overall 64.22Context 200K
5 modelsAgenticCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (5 models)

Score
1
Qwen3.5 397BAlibaba · Open weight
74.2%
2
Qwen3.6 PlusAlibaba · Closed
74.1%
3
Claude Opus 4.5Anthropic · Closed
71.8%
4
GLM-5Z.AI · Open weight
60.8%
5
Kimi K2.5Moonshot AI · Open weight
59.1%

The published MCP-Tasks snapshot places Qwen3.5 397B first at 74.2%. The third row is 2.4 points behind. The broader top-10 range is 15.1 points, so the table still separates the published systems.

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.

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.

Compare Top Models on MCP-Tasks

Qwen3.5 397B vs Qwen3.6 PlusQwen3.6 Plus vs Claude Opus 4.5Claude Opus 4.5 vs GLM-5GLM-5 vs Kimi K2.5
Last updated: July 23, 2026 · BenchLM version MCP-Tasks 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.