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Unspecified benchmark

LM Arena Agent Task Outcome Explicit Leaderboard

LM Arena Agent Task Outcome Explicit is a current leaderboard using the Agent Score metric, reported as a ratio.

Updated Sep 8, 2026

Models49
Model coverage49
MetricAgent Score
EvidenceA

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LM Arena Agent Task Outcome Explicit Ranking

Higher agent score ranks better on this benchmark.

30 of 49 rows
Columns

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Rank
Model
Agent Score
Percentile
Participants
Observations
Evidence
Evaluated
Rank01ModelANClaude Fable 5.1AnthropicAgent Score22.45% (18.73% - 26.16%)Percentile100.00%Participants49Observations2.5KEvidenceAEvaluatedSep 5, 2026
Rank02ModelMAKimi K3Moonshot AIAgent Score16.58% (15.19% - 17.98%)Percentile97.92%Participants49Observations74.2KEvidenceAEvaluatedSep 5, 2026
Rank03ModelANClaude Opus 5AnthropicAgent Score14.89% (10.95% - 18.84%)Percentile95.83%Participants49Observations12.5KEvidenceAEvaluatedSep 5, 2026
Rank04ModelZAGLM-5.3-FlashZhipu AIAgent Score14.14% (11.98% - 16.30%)Percentile93.75%Participants49Observations13.5KEvidenceAEvaluatedSep 5, 2026
Rank05ModelTEHy4 previewTencentAgent Score13.56% (10.60% - 16.52%)Percentile91.67%Participants49Observations6.5KEvidenceAEvaluatedSep 5, 2026
Rank06ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamAgent Score12.46% (9.97% - 14.96%)Percentile89.58%Participants49Observations9.5KEvidenceAEvaluatedSep 5, 2026
Rank07ModelZAGLM-5.3Zhipu AIAgent Score12.10% (10.57% - 13.62%)Percentile87.50%Participants49Observations34.9KEvidenceAEvaluatedSep 5, 2026
Rank08ModelDEDeepSeek-V4-Pro-0813DeepSeekAgent Score11.75% (9.84% - 13.66%)Percentile85.42%Participants49Observations20.4KEvidenceAEvaluatedSep 5, 2026
Rank09ModelGOGemini 3.8 FlashGoogleAgent Score10.42% (6.01% - 14.84%)Percentile83.33%Participants49Observations4.6KEvidenceAEvaluatedSep 5, 2026
Rank10ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamAgent Score10.37% (8.02% - 12.73%)Percentile81.25%Participants49Observations14KEvidenceAEvaluatedSep 5, 2026
Rank11ModelGOGemini 3.7 FlashGoogleAgent Score9.54% (7.38% - 11.71%)Percentile79.17%Participants49Observations19.6KEvidenceAEvaluatedSep 5, 2026
Rank12ModelZAGLM-5.2Zhipu AIAgent Score8.63% (6.98% - 10.27%)Percentile77.08%Participants49Observations42.5KEvidenceAEvaluatedSep 5, 2026
Rank13ModelDEDeepSeek-V4-Flash-0731DeepSeekAgent Score8.46% (6.69% - 10.22%)Percentile75.00%Participants49Observations35.4KEvidenceAEvaluatedSep 5, 2026
Rank14ModelXAGrok 4.6xAIAgent Score7.83% (5.08% - 10.59%)Percentile72.92%Participants49Observations12.9KEvidenceAEvaluatedSep 5, 2026
Rank15ModelANClaude Fable 5AnthropicAgent Score7.37% (4.20% - 10.54%)Percentile70.83%Participants49Observations27.5KEvidenceAEvaluatedSep 5, 2026
Rank16ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamAgent Score6.98% (4.72% - 9.24%)Percentile68.75%Participants49Observations13.9KEvidenceAEvaluatedSep 5, 2026
Rank17ModelOPGPT-5.6 SolOpenAIAgent Score6.68% (3.55% - 9.81%)Percentile66.67%Participants49Observations22.8KEvidenceAEvaluatedSep 5, 2026
Rank18ModelMEMuse Spark 1.2MetaAgent Score6.60% (3.78% - 9.41%)Percentile64.58%Participants49Observations12.9KEvidenceAEvaluatedSep 5, 2026
Rank19ModelXAGrok 4.5xAIAgent Score6.30% (3.75% - 8.86%)Percentile62.50%Participants49Observations23.8KEvidenceAEvaluatedSep 5, 2026
Rank20ModelANClaude Opus 4.8AnthropicAgent Score5.93% (2.49% - 9.36%)Percentile60.42%Participants49Observations21.1KEvidenceAEvaluatedSep 5, 2026
Rank21ModelMEMuse Spark 1.1MetaAgent Score5.01% (3.47% - 6.55%)Percentile58.33%Participants49Observations56.5KEvidenceAEvaluatedSep 5, 2026
Rank22ModelANClaude Opus 4.7AnthropicAgent Score3.51% (0.36% - 6.67%)Percentile56.25%Participants49Observations25.8KEvidenceAEvaluatedSep 5, 2026
Rank23ModelANClaude Sonnet 5AnthropicAgent Score2.80% (-1.33% - 6.93%)Percentile54.17%Participants49Observations19.4KEvidenceAEvaluatedSep 5, 2026
Rank24ModelANClaude Opus 4.6AnthropicAgent Score2.50% (-0.67% - 5.66%)Percentile52.08%Participants49Observations27.8KEvidenceAEvaluatedSep 5, 2026
Rank25ModelOPGPT-5.5OpenAIAgent Score2.07% (-0.35% - 4.49%)Percentile50.00%Participants49Observations39.1KEvidenceAEvaluatedSep 5, 2026
Rank26ModelMAKimi K2.7 CodeMoonshot AIAgent Score1.15% (-4.77% - 7.06%)Percentile47.92%Participants49Observations5.7KEvidenceAEvaluatedSep 5, 2026
Rank27ModelOPGPT-5.4OpenAIAgent Score1.14% (-1.00% - 3.27%)Percentile45.83%Participants49Observations53.9KEvidenceAEvaluatedSep 5, 2026
Rank28ModelOPGPT-5.6 LunaOpenAIAgent Score0.83% (-1.81% - 3.46%)Percentile43.75%Participants49Observations15KEvidenceAEvaluatedSep 5, 2026
Rank29ModelZAGLM-5.1Zhipu AIAgent Score0.17% (-1.98% - 2.32%)Percentile41.67%Participants49Observations45.3KEvidenceAEvaluatedSep 5, 2026
Rank30ModelGOGemini 3.5 FlashGoogleAgent Score-1.62% (-3.60% - 0.37%)Percentile39.58%Participants49Observations68.3KEvidenceAEvaluatedSep 5, 2026

LM Arena Agent Task Outcome Explicit Highlights

The leading models and scores on this benchmark.

LM Arena Agent Task Outcome Explicit Score Distribution

A closer view of the leading scores on this benchmark.

LM Arena Agent Task Outcome Explicit

The Top AI Models for LM Arena Agent Task Outcome Explicit

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is LM Arena Agent Task Outcome Explicit?

What LM Arena Agent Task Outcome Explicit measures and how its scores work.

LM Arena Agent Task Outcome Explicit is a current leaderboard.

It reports Agent Score as a ratio.

Scores are shown in ratio. This benchmark is verified and has an evidence level of A.

Family
lm-arena-agent-task-outcome-explicit
Modality
Unspecified
Primary category
Unspecified
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LM Arena. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about LM Arena Agent Task Outcome Explicit.

Which model scores highest on LM Arena Agent Task Outcome Explicit?

Claude Fable 5.1 is currently ranked first with 22.45%.

What are the top three models on LM Arena Agent Task Outcome Explicit?

The current leaders are Claude Fable 5.1 (22.45%), Kimi K3 (16.58%), and Claude Opus 5 (14.89%).

Which LM Arena Agent Task Outcome Explicit model has the lowest official input price?

GLM-5.3-Flash has the lowest matched official input price at $0.08 input / $0.25 output per 1M tokens.

Which models are fastest among LM Arena Agent Task Outcome Explicit results?

The fastest matched records are GLM-5.3 (472.69 tok/s via FriendliAI), Gemini 3.5 Flash (210.94 tok/s via Google), and GPT-5.5 (134.94 tok/s via OpenAI).

Does the highest agent 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.

What does LM Arena Agent Task Outcome Explicit measure?

It reports Agent Score as a ratio.

Is a higher agent score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

49 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Claude Fable 5.122.45% (18.73% - 26.16%)
Rank #2Kimi K316.58% (15.19% - 17.98%)
Rank #3Claude Opus 514.89% (10.95% - 18.84%)
Rank #4GLM-5.3-Flash14.14% (11.98% - 16.30%)

Ranking basisThis lm arena agent task outcome explicit AI model leaderboard uses descending agent score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AN
    Claude Fable 5.1Anthropic
    Agent Score
    22.45%
    Price
    $10 input / $50 output per 1M tokens
    Speed
    Up to 7.67 tok/s via Anthropic

    Strengths

    • Ranks #1 of 49 compared models
    • 100th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures LM Arena Agent Task Outcome Explicit, not total model capability
  2. 02
    MA
    Kimi K3Moonshot AI
    Agent Score
    16.58%
    Price
    $3.0 input / $15 output per 1M tokens

    Strengths

    • Ranks #2 of 49 compared models
    • 98th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures LM Arena Agent Task Outcome Explicit, not total model capability
  3. 03
    AN
    Anthropic
    Agent Score
    14.89%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 62.88 tok/s via Anthropic

    Strengths

    • Ranks #3 of 49 compared models
    • 96th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures LM Arena Agent Task Outcome Explicit, not total model capability
  4. 04
    ZA
    Zhipu AI
    Agent Score
    14.14%
    Price
    $0.08 input / $0.25 output per 1M tokens
    Speed
    Up to 74.28 tok/s via FriendliAI

    Strengths

    • Ranks #4 of 49 compared models
    • 94th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures LM Arena Agent Task Outcome Explicit, not total model capability
  5. 05
    TE
    Tencent
    Agent Score
    13.56%

    Strengths

    • Ranks #5 of 49 compared models
    • 92th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures LM Arena Agent Task Outcome Explicit, not total model capability

Selection summary

Best AI Models for LM Arena Agent Task Outcome Explicit

Claude Fable 5.1 currently leads LM Arena Agent Task Outcome Explicit with 22.45%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Claude Opus 5
GLM-5.3-Flash
Hy4 preview
Benchmark rank #1Claude Fable 5.122.45% · $10 input / $50 output per 1M tokens
Benchmark rank #2Kimi K316.58% · $3.0 input / $15 output per 1M tokens
Benchmark rank #3Claude Opus 514.89% · $5.0 input / $25 output per 1M tokens