Nemotron model for efficient reasoning, coding, and specialized AI agents
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Efficient multimodal model for instruction following, coding, reasoning, and function calling
Efficient Mistral model for fast chat, extraction, and production assistants
Cohere command model for multilingual enterprise agents, tools, and chat
Cohere command model for multilingual enterprise agents, tools, and chat
Open multimodal Gemma instruction model for efficient text generation and image understanding
Open multimodal Gemma instruction model for multilingual text generation and image understanding
Largest open Gemma 3 instruction model for multilingual text generation and visual understanding
Open reasoning model from the Qwen team for math, coding, and step-by-step problem solving
Open Command R model optimized for Arabic enterprise chat, RAG, and cultural knowledge
Compact Microsoft instruction model tuned for efficient coding assistance, reasoning, and low-latency agent tasks
Compact Microsoft multimodal model for text, image, and speech understanding
Qwen vision-language model for visual reasoning, documents, and agent tasks
Classic open reasoning model for transparent math, coding, and deliberate problem solving
R1 reasoning distilled into Qwen 2.5 32B for efficient open-weight step-by-step problem solving
Open DeepSeek MoE chat model for coding, math, and general reasoning
Open Llama instruction model for multilingual chat, reasoning, and coding
Cohere retrieval model for long-context chat and enterprise RAG workflows
Popular open Llama workhorse for multilingual chat, coding, and self-hosting
Flagship Mistral model for advanced reasoning, coding, and multilingual work
Open coding-focused Qwen model for code generation, repair, and repository reasoning
Open-weight instruction model for adaptable chat and self-hosted production workloads
Flagship Mistral model for advanced reasoning, coding, and multilingual work
Mistral's larger vision model for document-heavy image understanding and chat
Open multilingual model optimized for generation across 23 languages
Efficient open Mistral edge model for on-device chat and function calling
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Compact open Llama base model for lightweight and on-device use
Small open Llama base model for lightweight text generation and self-hosting
Open multimodal Llama model for image understanding, captioning, and visual QA
Compact instruction-tuned Llama model for multilingual dialogue and on-device assistants
Large open multimodal Llama model for image reasoning, document QA, and captioning
Small instruction-tuned Llama model for multilingual dialogue and agentic retrieval
Small open Qwen2.5 instruction model for chat, structured output, and tool use
Mistral vision-language model for image understanding and multimodal chat
Cohere retrieval model for long-context chat and enterprise RAG workflows
Cohere's RAG workhorse for long-context enterprise search and tool use
Open Llama instruction model for multilingual chat, reasoning, and coding
Compact Nemotron model for efficient reasoning and deployable AI agents
Open Llama instruction model for multilingual chat, reasoning, and coding
Open Llama instruction model for multilingual chat, reasoning, and coding
Abacus.AI coding fine-tune of Llama 3.1 70B Instruct
Flagship Mistral model for advanced reasoning, coding, and multilingual work
Llama 3.1-based safety classifier for moderating prompts and model responses
Compact open Llama model for lightweight chat, drafting, and self-hosting
Open Llama instruction model for multilingual chat, reasoning, and coding
Efficient Mistral-NVIDIA open model for multilingual chat and local deployment
Mistral code model for completions, refactors, and developer IDE workflows
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Llama 3.3 Nemotron Super 49B v1nvidia/llama-3.3-nemotron-super-49b-v1 | 131.072K | — | — | 2025-03-18 | |||
| Mistral Small 3.1 24Bmistral/mistral-small-3-1-24b-instruct-2503 | 128K | $0.1 | $0.3 | 2025-03-17 | |||
| Mistral Small 3.1 24Bmistral/mistral-small-3.1-24b-instruct | 128K | — | — | 2025-03-17 | |||
| Command Acohere/command-a | 256K | $2.5 | $10 | 2025-03-13 | |||
| Command Acohere/command-a-03-2025 | 256K | $2.5 | $10 | 2025-03-13 | |||
| Gemma 3 4B ITgoogle/gemma-3-4b-it | 131.072K | $0.04 | $0.05 | 2025-03-12 | |||
| Gemma 3 12B ITgoogle/gemma-3-12b-it | 131.072K | $0.04 | $0.12 | 2025-03-12 | |||
| Gemma 3 27B ITgoogle/gemma-3-27b-it | 131.072K | $0.08 | $0.16 | 2025-03-12 | |||
| QwQ 32Balibaba/qwq-32b | 131.072K | $0.4 | $0.4 | 2025-03-05 | |||
| Command R7B Arabiccohere/command-r7b-arabic-02-2025 | 128K | $0.037 | $0.15 | 2025-02-27 | |||
| Phi-4-minimicrosoft/phi-4-mini | 128K | $0.075 | $0.3 | 2025-02-26 | |||
| Phi-4-multimodal-instructmicrosoft/phi-4-multimodal-instruct | 131.072K | — | — | 2025-02-26 | |||
| Qwen2.5-VL 72B Instructalibaba/qwen2-5-vl-72b-instruct | 131.072K | $0.8 | $1 | 2025-01-26 | |||
| DeepSeek-R1deepseek/deepseek-r1 | 128K | $0.58 | $2.319 | 2025-01-20 | |||
| DeepSeek-R1-Distill-Qwen-32Bdeepseek/deepseek-r1-distill-qwen-32b | 131.072K | — | — | 2025-01-20 | |||
| DeepSeek-V3deepseek/deepseek-v3 | 131.072K | $0.27 | $1.1 | 2024-12-26 | |||
| Llama 3.3 Euryale 70Bsao10k/l3.3-euryale-70b | 131.072K | $0.688 | $0.793 | 2024-12-18 | |||
| Command R7Bcohere/command-r7b-12-2024 | 128K | $0.037 | $0.15 | 2024-12-13 | |||
| Llama-3.3-70B-Instructmeta/llama-3.3-70b-instruct | 128K | $0.1 | $0.32 | 2024-12-06 | |||
| Mistral Large 2.1mistral/mistral-large-2411 | 131.072K | — | — | 2024-11-18 | |||
| Qwen2.5-Coder-32B-Instructalibaba/qwen2.5-coder-32b-instruct | 131.072K | $0.06 | $0.2 | 2024-11-12 | |||
| UnslopNemo 12Bthedrummer/unslopnemo-12b | 1.024M | $0.4 | $0.4 | 2024-11-08 | |||
| Mistral Large (latest)mistral/mistral-large-latest | 262.144K | $0.5 | $1.5 | 2024-11-01 | |||
| Pixtral Large (latest)mistral/pixtral-large-latest | 128K | $2 | $6 | 2024-11-01 | |||
| Aya Expanse 32Bcohere/c4ai-aya-expanse-32b | 128K | $0.5 | $1.5 | 2024-10-24 | |||
| Ministral 8B Instructmistral/ministral-8b-instruct-2410 | 131.072K | — | — | 2024-10-16 | |||
| Ministral 3Bmistral/ministral-3b | 128K | $0.04 | $0.04 | 2024-10-16 | |||
| Llama-3.2-1Bmeta/llama-3.2-1b | 131.072K | — | — | 2024-09-25 | |||
| Llama-3.2-3Bmeta/llama-3.2-3b | 131.072K | — | — | 2024-09-25 | |||
| Llama-3.2-11B-Vision-Instructmeta/llama-3.2-11b-vision-instruct | 128K | $0.055 | $0.055 | 2024-09-25 | |||
| Llama 3.2 1B Instructmeta/llama-3.2-1b-instruct | 131.072K | $0.01 | $0.01 | 2024-09-25 | |||
| Llama-3.2-90B-Vision-Instructmeta/llama-3.2-90b-vision-instruct | 128K | — | — | 2024-09-25 | |||
| Llama 3.2 3B Instructmeta/llama-3.2-3b-instruct | 131.072K | $0.02 | $0.02 | 2024-09-25 | |||
| Qwen2.5 7B Instructalibaba/qwen2.5-7b-instruct | 131.072K | $0.1 | $0.2 | 2024-09-19 | |||
| Pixtral 12Bmistral/pixtral-12b | 128K | $0.15 | $0.15 | 2024-09-11 | |||
| Command Rcohere/command-r-08-2024 | 128K | $0.15 | $0.6 | 2024-08-30 | |||
| Command R+cohere/command-r-plus-08-2024 | 128K | $2.5 | $10 | 2024-08-30 | |||
| Llama 3.1 Euryale 70B v2.2sao10k/l3.1-euryale-70b | 131.072K | $0.85 | $0.85 | 2024-08-28 | |||
| Nemotron Mini 4B Instructnvidia/nemotron-mini-4b-instruct | 128K | — | — | 2024-08-21 | |||
| Hermes 3 70B Instructnousresearch/hermes-3-llama-3.1-70b | 131.072K | $0.7 | $0.7 | 2024-08-18 | |||
| Hermes 3 405B Instructnousresearch/hermes-3-llama-3.1-405b | 131.072K | $1 | $1 | 2024-08-16 | |||
| Dracarys Llama 3.1 70B Instructabacusai/dracarys-llama-3.1-70b-instruct | 131.072K | — | — | 2024-08-14 | |||
| Mistral Large 2407mistral/mistral-large-2407 | 131.072K | $2 | $6 | 2024-07-24 | |||
| Llama-Guard-3-8Bmeta/llama-guard-3-8b | 128K | — | — | 2024-07-23 | |||
| Llama-3.1-8B-Instructmeta/llama-3.1-8b-instruct | 128K | $0.02 | $0.04 | 2024-07-23 | |||
| Llama-3.1-70B-Instructmeta/llama-3.1-70b-instruct | 128K | $0.4 | $0.4 | 2024-07-23 | |||
| Mistral Nemomistral/mistral-nemo | 128K | $0.029 | $0.03 | 2024-07-18 | |||
| Codestral (latest)mistral/codestral-latest | 256K | $0.3 | $0.9 | 2024-05-29 | |||
| IBM: Granite 4.1 8Bibm-granite/granite-4.1-8b | 131.072K | $0.05 | $0.1 | — | |||
| IBM: Granite 4.2 8Bibm-granite/granite-4.2-8b | 131.072K | $0.06 | $0.25 | — |