Reasoning
Vending-Bench 2 Leaderboard
Vending-Bench 2, from Andon Labs, is a long-horizon agent benchmark in which the model runs a simulated vending-machine business for a year, handling suppliers, pricing and cash flow. The score is the final money balance in US dollars.
Source: epoch17 open models ranked+46 proprietaryData through Sep 2026
Open models ranked on Vending-Bench 2
# shows rank among open models / rank overall (including proprietary).
| # | Model | Score |
|---|---|---|
| 1 / 7 | GLM 5.2 · 753.3B | 8313.8 |
| 2 / 8 | GLM 5.3 · 753.3B | 8163.6 |
| 3 / 15 | Kimi K2.6 · 1026.9B | 6204.6 |
| 4 / 20 | GLM 5.1 · 753.9B | 5634.4 |
| 5 / 24 | Kimi K3 · 2779.9B | 5165.0 |
| 6 / 27 | Kimi K2.7 Code · 1026.9B | 5082.9 |
| 7 / 33 | GLM 5 · 753.9B | 4432.1 |
| 8 / 42 | DeepSeek V4 Pro · 1598.8B | 3284.5 |
| 9 / 44 | GLM 4.7 · 358.3B | 2376.8 |
| 10 / 45 | MiniMax M3 · 427.0B | 2157.8 |
| 11 / 47 | Kimi K2.5 · 1026.9B | 1198.5 |
| 12 / 49 | DeepSeek V3.2 Exp · 685.4B | 1034.0 |
| 13 / 55 | Qwen3.5 27B · 27.8B | 202.0 |
| 14 / 56 | MiniMax M2 · 228.7B | 160.6 |
| 15 / 60 | Qwen3 235B A22B Thinking 2507 · 235.1B | -11.3 |
| 16 / 61 | GPT OSS 120B · 116.8B | -21.5 |
| 17 / 62 | MiniMax M2.5 · 228.7B | -23.2 |
Score vs model size
Which models give the most quality for their size — the ones worth running locally.
- Qwen3.5 27B, 28B, score 202.0 — on the efficiency frontier (best score at its size or smaller).
- GLM 4.7, 358B, score 2376.8 — on the efficiency frontier (best score at its size or smaller).
- GLM 5.2, 753B, score 8313.8 — on the efficiency frontier (best score at its size or smaller).
Vending-Bench 2: frequently asked questions
- What is the best open LLM on Vending-Bench 2?
- GLM 5.2 is the top open model on Vending-Bench 2, scoring 8313.8. Among all models tested — including proprietary ones — it ranks #7. The top model overall is GPT 6 Astra (unspecified) (OpenAI) at 15514.7.
- What's the best Vending-Bench 2 model you can run on a 24 GB GPU?
- Qwen3.5 27B is the highest-scoring open model that fits in 24 GB at 4-bit quantization (about 15 GB), scoring 202.0 on Vending-Bench 2.
- Can open models match proprietary models on Vending-Bench 2?
- Not quite on Vending-Bench 2: the strongest proprietary model (GPT 6 Astra (unspecified)) scores 15514.7, ahead of the best open model (GLM 5.2) at 8313.8 — but you can run the open one yourself.
Scores aggregated from epoch. llmrun does not run this benchmark — see the source for methodology, or the about benchmarks for what it measures.