llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

reasoning benchmark

Toolathlon Leaderboard

Toolathlon is a benchmark for evaluating AI agents' ability to use multiple tools across diverse task categories.

Updated Sep 5, 2026

Models41
Model coverage41
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

Toolathlon Ranking

Higher score ranks better on this benchmark.

30 of 41 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelZAGLM-5.3-FlashZhipu AIScore78.40%Percentile100.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank02ModelMEMuse Spark 1.1MetaScore75.60%Percentile97.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank03ModelDEDeepSeek-V4-Pro-0813DeepSeekScore74.10%Percentile95.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank04ModelTEHy4 previewTencentScore74.10%Percentile92.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore73.50%Percentile90.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore73.50%Percentile87.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank07ModelMAKimi K3Moonshot AIScore73.20%Percentile85.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank08ModelZAGLM-5.3Zhipu AIScore73.00%Percentile82.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore72.50%Percentile80.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank10ModelDEDeepSeek-V4-Flash-0731DeepSeekScore70.30%Percentile77.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank11ModelANClaude Opus 4.8AnthropicScore59.90%Percentile75.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank12ModelOPGPT-5.6 SolOpenAIScore58.00%Percentile72.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank13ModelGOGemini 3.5 FlashGoogleScore56.50%Percentile70.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank14ModelOPGPT-5.5OpenAIScore55.60%Percentile67.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank15ModelOPGPT-5.4OpenAIScore54.60%Percentile65.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank16ModelTMInkling-SmallThinking Machines LabScore54.40%Percentile62.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank17ModelANClaude Sonnet 5AnthropicScore54.30%Percentile60.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank18ModelOPGPT-5.6 LunaOpenAIScore53.40%Percentile57.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank19ModelOPGPT-5.6 TerraOpenAIScore53.10%Percentile55.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank20ModelDEDeepSeek-V4-Pro-MaxDeepSeekScore51.80%Percentile52.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank21ModelBYSeed 2.1 ProByteDanceScore50.60%Percentile50.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank22ModelMAKimi K2.6Moonshot AIScore50.00%Percentile47.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank23ModelPOLaguna S 2.1PoolsideScore49.70%Percentile45.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank24ModelGOGemini 3 FlashGoogleScore49.40%Percentile42.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank25ModelBYSeed 2.1 TurboByteDanceScore49.10%Percentile40.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank26ModelTEHy3TencentScore48.50%Percentile37.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank27ModelZAGLM-5.2Zhipu AIScore48.20%Percentile35.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank28ModelDEDeepSeek-V4-Flash-MaxDeepSeekScore47.80%Percentile32.50%Participants41EvidenceCEvaluatedSep 8, 2026
Rank29ModelOPGPT-5.2OpenAIScore46.30%Percentile30.00%Participants41EvidenceCEvaluatedSep 8, 2026
Rank30ModelMIMiniMax M2.7MiniMaxScore46.30%Percentile27.50%Participants41EvidenceCEvaluatedSep 8, 2026

Toolathlon Highlights

The leading models and scores on this benchmark.

Toolathlon Score Distribution

A closer view of the leading scores on this benchmark.

Toolathlon

The Top AI Models for Toolathlon

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

What is Toolathlon?

What Toolathlon measures and how its scores work.

Toolathlon evaluates AI agents across ten different tool-use scenarios.

It measures proficiency in tool selection, sequencing, and execution, reported as a Score ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Toolathlon
Modality
text
Primary category
reasoning
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 Toolathlon.

Which model scores highest on Toolathlon?

GLM-5.3-Flash is currently ranked first with 78.40%.

What are the top three models on Toolathlon?

The current leaders are GLM-5.3-Flash (78.40%), Muse Spark 1.1 (75.60%), and DeepSeek-V4-Pro-0813 (74.10%).

Which Toolathlon 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 Toolathlon 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 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 Toolathlon measure?

It measures proficiency in tool selection, sequencing, and execution, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

41 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 #1GLM-5.3-Flash78.40%
Rank #2Muse Spark 1.175.60%
Rank #3DeepSeek-V4-Pro-081374.10%
Rank #4Hy4 preview74.10%

Ranking basisThis toolathlon AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    ZA
    GLM-5.3-FlashZhipu AI
    Score
    78.40%
    Price
    $0.08 input / $0.25 output per 1M tokens
    Speed
    Up to 74.28 tok/s via FriendliAI

    Strengths

    • Ranks #1 of 41 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Toolathlon, not total model capability
  2. 02
    ME
    Muse Spark 1.1Meta
    Score
    75.60%
    Price
    $1.3 input / $4.3 output per 1M tokens
    Speed
    Up to 14.00 tok/s via Meta Model API

    Strengths

    • Ranks #2 of 41 compared models
    • 98th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Toolathlon, not total model capability
  3. 03
    DE
    DeepSeek
    Score
    74.10%
    Speed
    Up to 45.48 tok/s via DeepSeek

    Strengths

    • Ranks #3 of 41 compared models
    • 95th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Toolathlon, not total model capability
  4. 04
    TE
    Tencent
    Score
    74.10%

    Strengths

    • Ranks #4 of 41 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Toolathlon, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    73.50%

    Strengths

    • Ranks #5 of 41 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Toolathlon, not total model capability

Selection summary

Best AI Models for Toolathlon

GLM-5.3-Flash currently leads Toolathlon with 78.40%. 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.

DeepSeek-V4-Pro-0813
Hy4 preview
Qwen3.8-Flash-Next
Benchmark rank #1GLM-5.3-Flash78.40% · $0.08 input / $0.25 output per 1M tokens
Benchmark rank #2Muse Spark 1.175.60% · $1.3 input / $4.3 output per 1M tokens
Benchmark rank #3DeepSeek-V4-Pro-081374.10% · Up to 45.48 tok/s via DeepSeek