Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
Flagship model for demanding analysis, coding, and production agent workflows
Efficient model for low-latency assistance, extraction, and routine automation
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instruct | Alibaba Qwen |
7.3 | 262.144K | $0.25 | $0.75 | — | ||
| Nova Pro 1.0amazon/nova-pro-v1 | Amazon |
7.0 | 300K | $0.799 | $3.196 | 2024-12-05 | ||
| Nova Lite 1.0amazon/nova-lite-v1 | Amazon |
6.7 | 300K | $0.059 | $0.238 | 2024-12-05 | ||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | Meta |
6.5 | 327.68K | $0.1 | $0.3 | — | ||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | Mistral AI |
6.0 | 262.144K | $0.2 | $0.2 | — | ||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | Mistral AI |
5.5 | 262.144K | $0.15 | $0.15 | — | ||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | Mistral AI |
5.5 | 262.144K | $0.075 | $0.075 | — |