agents benchmark
Claw-Eval Leaderboard
Claw-Eval evaluates real-world agentic task completion across complex multi-step scenarios.
Updated Sep 5, 2026
Models14
Model coverage14
MetricScore
EvidenceB
Claw-Eval Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score80.90% | Percentile100.00% | Participants14 | EvidenceC | Evaluated |
| Rank02 | ModelZA | Score75.00% | Percentile92.31% | Participants14 | EvidenceC | Evaluated |
| Rank03 | ModelMI | Score74.50% | Percentile84.62% | Participants14 | EvidenceC | Evaluated |
| Rank04 | ModelTE | Score68.50% | Percentile76.92% | Participants14 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score65.20% | Percentile69.23% | Participants14 | EvidenceC | Evaluated |
| Rank06 | ModelXI | Score64.00% | Percentile61.54% | Participants14 | EvidenceC | Evaluated |
| Rank07 | ModelXI | Score63.20% | Percentile53.85% | Participants14 | EvidenceC | Evaluated |
| Rank08 | ModelLA | Score62.85% | Percentile46.15% | Participants14 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score62.70% | Percentile38.46% | Participants14 | EvidenceC | Evaluated |
| Rank10 | ModelXI | Score61.50% | Percentile30.77% | Participants14 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score60.60% | Percentile23.08% | Participants14 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score58.70% | Percentile15.38% | Participants14 | EvidenceC | Evaluated |
| Rank13 | ModelXI | Score54.80% | Percentile7.69% | Participants14 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score50.00% | Percentile0.00% | Participants14 | EvidenceC | Evaluated |
Claw-Eval Highlights
The leading models and scores on this benchmark.
Claw-Eval Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Claw-Eval
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Claw-Eval?
What Claw-Eval measures and how its scores work.
Claw-Eval is a benchmark for evaluating models on real-world agentic tasks.
It measures task completion, tool use, environment navigation, and end-to-end task completion autonomously.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Claw-Eval
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Claw-Eval.
Which model scores highest on Claw-Eval?
Kimi K2.6 is currently ranked first with 80.90%.
What are the top three models on Claw-Eval?
The current leaders are Kimi K2.6 (80.90%), GLM-5V-Turbo (75.00%), and MiniMax M3 (74.50%).
Which Claw-Eval model has the lowest official input price?
MiMo-V2.5 has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
Which models are fastest among Claw-Eval results?
The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax), MiMo-V2.5 (5.39 tok/s via DeepInfra), and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.