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reasoning benchmark

Vending-Bench 2 Leaderboard

Vending-Bench 2 evaluates how well AI models manage a simulated vending machine business over an extended period.

Updated Sep 5, 2026

Models4
Model coverage4
MetricFinal balance
EvidenceB

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Vending-Bench 2 Ranking

Higher final balance ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Final balance
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 4.6AnthropicFinal balance8,017.59 usdPercentile100.00%Participants4EvidenceCEvaluatedSep 8, 2026
Rank02ModelZAGLM-5.1Zhipu AIFinal balance5,634.41 usdPercentile66.67%Participants4EvidenceCEvaluatedSep 8, 2026
Rank03ModelGOGemini 3 ProGoogleFinal balance5,478.16 usdPercentile33.33%Participants4EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemini 3 FlashGoogleFinal balance3,635.00 usdPercentile0.00%Participants4EvidenceCEvaluatedSep 8, 2026

Vending-Bench 2 Highlights

The leading models and scores on this benchmark.

Vending-Bench 2 Score Distribution

A closer view of the leading scores on this benchmark.

Vending-Bench 2

The Top AI Models for Vending-Bench 2

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

What is Vending-Bench 2?

What Vending-Bench 2 measures and how its scores work.

Vending-Bench 2 is a reasoning benchmark that evaluates AI models managing a simulated vending machine business for a full simulated year.

It measures Final balance in usd, along with the model's ability to maintain consistent tool usage and decision-making over the simulated year.

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

Family
Vending-Bench 2
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 Vending-Bench 2.

Which model scores highest on Vending-Bench 2?

Claude Opus 4.6 is currently ranked first with 8,017.59 usd.

What are the top three models on Vending-Bench 2?

The current leaders are Claude Opus 4.6 (8,017.59 usd), GLM-5.1 (5,634.41 usd), and Gemini 3 Pro (5,478.16 usd).

Which Vending-Bench 2 model has the lowest official input price?

Gemini 3 Flash has the lowest matched official input price at $0.50 input / $3.0 output per 1M tokens.

Which models are fastest among Vending-Bench 2 results?

The fastest matched records are Gemini 3 Flash (124.32 tok/s via Google), Claude Opus 4.6 (123.15 tok/s via Anthropic), and Gemini 3 Pro (90.00 tok/s via Google).

Does the highest final balance 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 Vending-Bench 2 measure?

It measures Final balance in usd, along with the model's ability to maintain consistent tool usage and decision-making over the simulated year.

Is a higher final balance better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 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 Opus 4.68,017.59 usd
Rank #2GLM-5.15,634.41 usd
Rank #3Gemini 3 Pro5,478.16 usd
Rank #4Gemini 3 Flash3,635.00 usd

Ranking basisThis vending-bench 2 AI model leaderboard uses descending final balance in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AN
    Claude Opus 4.6Anthropic
    Final balance
    8,017.59 usd
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 123.15 tok/s via Anthropic

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vending-Bench 2, not total model capability
  2. 02
    ZA
    GLM-5.1Zhipu AI
    Final balance
    5,634.41 usd
    Price
    $1.4 input / $4.4 output per 1M tokens

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vending-Bench 2, not total model capability
  3. 03
    GO
    Google
    Final balance
    5,478.16 usd
    Speed
    Up to 90.00 tok/s via Google

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vending-Bench 2, not total model capability
  4. 04
    GO
    Google
    Final balance
    3,635.00 usd
    Price
    $0.50 input / $3.0 output per 1M tokens
    Speed
    Up to 124.32 tok/s via Google

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vending-Bench 2, not total model capability

Selection summary

Best AI Models for Vending-Bench 2

Claude Opus 4.6 currently leads Vending-Bench 2 with 8,017.59 usd. 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.

Gemini 3 Pro
Gemini 3 Flash
Benchmark rank #1Claude Opus 4.68,017.59 usd · $5.0 input / $25 output per 1M tokens
Benchmark rank #2GLM-5.15,634.41 usd · $1.4 input / $4.4 output per 1M tokens
Benchmark rank #3Gemini 3 Pro5,478.16 usd · Up to 90.00 tok/s via Google