Multimodal model for analyzing text, images, documents, and rich media
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Compact Qwen3.5 multimodal model for fast chat, reasoning, and tool use
Small Qwen3.5 multimodal model for low-cost chat, reasoning, and tool use
Smallest Qwen3.5 multimodal model for on-device chat, reasoning, and tool use
Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning
Pre-trained Qwen3.5 base checkpoint for fine-tuning and research, without instruction tuning
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen vision-language model for visual reasoning, documents, and agent tasks
Qwen instruction model for multilingual chat, reasoning, and tool use
Qwen vision-language model for visual reasoning, documents, and agent tasks
Turkish-language multimodal instruct model built on Gemma 3 12B for e-commerce text, chat, and image-text tasks
Large open Qwen multimodal MoE for visual agents and long technical tasks
Earlier Kimi frontier model for long-context agents, coding, and multimodal work
High-accuracy OCR model for extracting text from documents, screenshots, receipts, and natural scenes
GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail generation. In addition to text‑to‑image generation, GLM‑Image also supports a rich set of image‑to‑image tasks including image editing, style transfer, identity‑preserving generation, and multi‑subject consistency.
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
Reranking model for improving retrieval quality in search and recommendation systems
Multilingual visual model for operating smartphone interfaces and mobile agents
Compact multimodal coding model for repository exploration, file editing, and software agents
GLM vision model for visual reasoning, documents, and multimodal agents
Lightweight GLM vision model for visual reasoning, documents, and multimodal agents
Mistral's largest general model for enterprise agents, coding, and multilingual reasoning
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact multimodal Mistral model for local assistants, edge agents, and efficient tool use
Open vision-language model for efficient local deployment, instruction following, and tool use
Compact open vision-language model for edge deployment, instruction following, and tool use
Compact open vision-language model for edge deployment, instruction following, and tool use
Nemotron multimodal model for visual reasoning and agentic AI workflows
Compact vision-language model for multilingual document parsing, OCR, tables, formulas, and charts
Open vision-language MoE model for image and video understanding, documents, and visual agents
Gemma 3 27B tuned by AI Singapore for Southeast Asian languages and instruction following
Qwen vision-language thinking model for visual reasoning, documents, and agent tasks
Qwen vision-language instruct model for visual reasoning, documents, and agent tasks
Multimodal reasoning model accepting text, images, video, and audio with text output
Open multimodal reasoning model for transparent analysis of text and images
GLM vision model for visual reasoning, documents, and multimodal agents
Cohere vision model for multilingual document analysis, OCR, and image understanding
Multimodal reasoning model for visual analysis, planning, and tool use
Efficient on-device Gemma 3n model for text, image, and audio understanding
Efficient on-device Gemma 3n model for text, image, and audio understanding
Efficient Mistral model for fast chat, extraction, and production assistants
Efficient Mistral model for fast chat, extraction, and production assistants
Open-weight FLUX.1 Kontext model for instruction-based image editing
Multimodal Llama 4-based safety classifier for moderating prompts and responses
Open Llama with long-context vision for efficient multimodal agents
Open multimodal Llama for strong reasoning with efficient everyday serving
Efficient multimodal model for instruction following, coding, reasoning, and function calling
Efficient Mistral model for fast chat, extraction, and production assistants
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Reka Edgerekaai/reka-edge | 16.384K | $0.1 | $0.1 | 2026-03-11 | |||
| Qwen3.5 2Balibaba/qwen3.5-2b | 262.144K | $0.02 | $0.1 | 2026-03-02 | |||
| Qwen3.5 4Balibaba/qwen3.5-4b | 262.144K | $0.04 | $0.07 | 2026-03-02 | |||
| Qwen3.5 0.8Balibaba/qwen3.5-0.8b | 262.144K | — | — | 2026-03-02 | |||
| Qwen3.5 9B Basealibaba/qwen3.5-9b-base | 262.144K | $0.3 | $0.807 | 2026-02-26 | |||
| Qwen3.5 35B-A3B Basealibaba/qwen3.5-35b-a3b-base | 262.144K | $0.54 | $1.335 | 2026-02-24 | |||
| Qwen3.5 27Balibaba/qwen3.5-27b | 262.144K | $0.3 | $2.4 | 2026-02-23 | |||
| Qwen3.5 35B-A3Balibaba/qwen3.5-35b-a3b | 262.144K | $0.25 | $2 | 2026-02-23 | |||
| Qwen3.5 9Balibaba/qwen3.5-9b | 262.144K | $0.05 | $0.15 | 2026-02-23 | |||
| Qwen3.5 122B-A10Balibaba/qwen3.5-122b-a10b | 262.144K | $0.4 | $3.2 | 2026-02-23 | |||
| Trendyol Asure 12Btrendyol/asure-12b | 131.072K | $0.1 | $0.5 | 2026-02-19 | |||
| Qwen3.5 397B-A17Balibaba/qwen3.5-397b-a17b | 262.144K | $0.6 | $3.6 | 2026-02-15 | |||
| Kimi K2.5moonshotai/kimi-k2.5 | 262.144K | $0.375 | $2 | 2026-01-27 | |||
| DeepSeek OCR 2deepseek/deepseek-ocr-2 | 8.192K | $0.03 | $0.03 | 2026-01-27 | |||
| GLM-Imagezhipuai/glm-image | 10.24K | — | — | 2026-01-14 | |||
| Llama Nemotron Embed VL 1B v2nvidia/llama-nemotron-embed-vl-1b-v2 | 10.24K | — | — | 2025-12-18 | |||
| Llama Nemotron Rerank VL 1B v2nvidia/llama-nemotron-rerank-vl-1b-v2 | 10.24K | — | — | 2025-12-18 | |||
| AutoGLM Phone 9B Multilingualzhipuai/autoglm-phone-9b-multilingual | 65.536K | $0.035 | $0.138 | 2025-12-10 | |||
| Devstral Small 2mistral/devstral-small-2 | 262.144K | — | — | 2025-12-09 | |||
| GLM-4.6Vzhipuai/glm-4.6v | 128K | $0.149 | $0.448 | 2025-12-08 | |||
| GLM-4.6V-Flashzhipuai/glm-4.6v-flash | 128K | $0.3 | $0.9 | 2025-12-08 | |||
| Mistral Large 3mistral/mistral-large-2512 | 262.144K | $0.5 | $1.5 | 2025-12-02 | |||
| Ministral 3 8B 2512mistral/ministral-8b-2512 | 262.144K | $0.15 | $0.15 | 2025-12-02 | |||
| Ministral 3 14B 2512mistral/ministral-14b-2512 | 262.144K | $0.2 | $0.2 | 2025-12-02 | |||
| Ministral 3 3B 2512mistral/ministral-3b-2512 | 131.072K | $0.1 | $0.1 | 2025-12-02 | |||
| Ministral 14Bmistral/ministral-14b | 262.144K | $0.2 | $0.2 | 2025-12-02 | |||
| Ministral 3 14Bmistral/ministral-3-14b-instruct-2512 | 262.144K | $0.2 | $0.2 | 2025-12-02 | |||
| Ministral 3 8Bmistral/ministral-3-8b-instruct-2512 | 262.144K | $0.15 | $0.15 | 2025-12-02 | |||
| Ministral 3 3Bmistral/ministral-3-3b-instruct-2512 | 262.144K | $0.1 | $0.1 | 2025-12-02 | |||
| Nemotron Nano 12B v2 VLnvidia/nemotron-nano-12b-v2-vl | 128K | $0.2 | $0.6 | 2025-10-28 | |||
| PaddleOCR VLpaddlepaddle/paddleocr-vl | 131.072K | $0.02 | $0.02 | 2025-10-16 | |||
| Qwen3 VL 30B A3B Instructalibaba/qwen3-vl-30b-a3b-instruct | 262.144K | $0.15 | $0.6 | 2025-10-04 | |||
| Gemma-SEA-LION-v4-27B-ITaisingapore/gemma-sea-lion-v4-27b-it | 128K | — | — | 2025-09-23 | |||
| Qwen3 VL 235B A22B Thinkingalibaba/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | 2025-09-23 | |||
| Qwen3 VL 235B A22B Instructalibaba/qwen3-vl-235b-a22b-instruct | 131.072K | $0.2 | $0.88 | 2025-09-23 | |||
| Qwen3 Omni 30B A3B Thinkingalibaba/qwen3-omni-30b-a3b-thinking | 65.536K | $0.25 | $0.97 | 2025-09-22 | |||
| Magistral Small 1.2mistral/magistral-small-2509 | 131.072K | $0.5 | $1.5 | 2025-09-18 | |||
| GLM-4.5Vzhipuai/glm-4.5v | 64K | $0.299 | $0.896 | 2025-08-11 | |||
| Command A Visioncohere/command-a-vision-07-2025 | 128K | $2.5 | $10 | 2025-07-31 | |||
| ERNIE 4.5 VL 424B A47B baidu/ernie-4.5-vl-424b-a47b | 123K | $0.42 | $1.25 | 2025-06-30 | |||
| Gemma 3n E4B ITgoogle/gemma-3n-e4b-it | 32.768K | — | — | 2025-06-26 | |||
| Gemma 3n E2B ITgoogle/gemma-3n-e2b-it | 32.768K | — | — | 2025-06-26 | |||
| Mistral Small 3.2mistral/mistral-small-2506 | 128K | $0.1 | $0.3 | 2025-06-20 | |||
| Mistral Small 3.2 24Bmistral/mistral-small-3.2-24b-instruct | 256K | $0.075 | $0.2 | 2025-06-20 | |||
| FLUX.1 Kontext [dev]black-forest-labs/flux-1-kontext-dev | Not documented | — | — | 2025-05-29 | |||
| Llama Guard 4 12Bmeta/llama-guard-4-12b | 163.84K | $0.18 | $0.18 | 2025-04-29 | |||
| Llama 4 Scout 17B Instructmeta/llama-4-scout-17b-instruct | 10M | $0.17 | $0.66 | 2025-04-05 | |||
| Llama 4 Maverick 17B Instructmeta/llama-4-maverick-17b-instruct | 1M | $0.14 | $0.59 | 2025-04-05 | |||
| Mistral Small 3.1 24Bmistral/mistral-small-3-1-24b-instruct-2503 | 128K | — | — | 2025-03-17 | |||
| Mistral Small 3.1 24Bmistral/mistral-small-3.1-24b-instruct | 128K | $0.1 | $0.3 | 2025-03-17 |