Decart: Models and Prices
AI lab with its own LLM inference engine, serving open-weight models.
Decart served 981B tokens of other labs' open-weight models over Oct 3 to Oct 9, 2026 through a large public LLM router, #16 among providers.
Open-weight models
| Model | Family | Share of model | Tokens, 7d | Input $/M | Output $/M | Tokens/s | Uptime 3d | Context |
|---|---|---|---|---|---|---|---|---|
| GLM 5.3 Flash | GLM | 4.3% | 485B | $0.093 | $0.31 | 48 | 99.9% | 1.05M |
| GLM 5.3 | GLM | 5.7% | 188B | $0.842 | $2.65 | 123 | 99.9% | 1.05M |
| GLM 5.2 | GLM | 11.1% | 170B | $0.273 | $1.68 | 58 | 99.9% | 1.05M |
| DeepSeek V4.1 Flash | DeepSeek | 0.3% | 120B | $0.09 | $0.18 | 44 | 99.8% | 1.05M |
| Kimi K3 | Kimi | 0.6% | 11B | $1.98 | $9.90 | 33 | 97.4% | 1.05M |
List prices per million tokens as of October 9, 2026. Share: of all tokens served on that model; a dash where the volume is not reported.
Company
Finance your GPUs
Serving tokens on your own GPUs? Tell us the cluster, the models you serve and the contracts behind them, and we will share it with partner funders that fit.
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