2,824 models

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

poolside/laguna-s-2.1:free 262.144K context Free input Free output

No provider description is available for this model yet.

anthropic/claude-3-opus-20240229 200K context $15/M input $75/M output

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

qwen/qwen-plus 1M context $0.26/M input $0.78/M output

No provider description is available for this model yet.

groq/qwen/qwen3.6-27b 131.072K context $0.6/M input $3/M output

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

z-ai/glm-5.2:free 256K context Free input Free output

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

deepseek/deepseek-v3.1-terminus 131.072K context $0.27/M input $1/M output

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free 256K context Free input Free output

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

upstage/solar-pro-3 131.072K context $0.15/M input $0.6/M output

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

inclusionai/ling-3.0-flash-vl 131.072K context $0.06/M input $0.18/M output

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

openai/o1-pro:batch 200K context $75/M input $300/M output

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

google/gemini-3.1-flash-lite:batch 1.04858M context $0.125/M input $0.75/M output

No provider description is available for this model yet.

cloudflare/@cf/zai-org/glm-5.2 262.144K context $1.4/M input $4.4/M output

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...

meta-llama/llama-guard-4-12b 163.84K context $0.18/M input $0.18/M output

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

openai/gpt-audio 128K context $2.5/M input $10/M output

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...

cohere/north-mini-code:free 256K context Free input Free output

No provider description is available for this model yet.

gmi/deepseek-ai/deepseek-v3.2 163.84K context $0.28/M input $0.4/M output

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

openai/o4-mini-high 200K context $1.1/M input $4.4/M output

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

google/gemini-3.5-flash:batch 1.04858M context $0.75/M input $4.5/M output

No provider description is available for this model yet.

gmi/openai/gpt-4o-mini 131.072K context $0.15/M input $0.6/M output

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

openai/gpt-5.4:batch 1.05M context $1.25/M input $7.5/M output

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

anthropic/claude-opus-4.8:batch 1M context $2.5/M input $12.5/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

meta/muse-spark-1.2-contributor 1.04858M context $0.1/M input $0.2/M output

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

qwen/qwen3.7-plus 1M context $0.32/M input $1.28/M output

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

inference-net/schematron-v2-turbo 128K context $0.03/M input $0.15/M output

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

anthropic/claude-sonnet-5:batch 1M context $1/M input $5/M output

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

qwen/qwen3.5-plus-02-15 1M context $0.26/M input $1.56/M output

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...

inclusionai/ling-3.0-tiny:free 262.144K context Free input Free output

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

openai/gpt-5.6-sol:batch 1.05M context $1/M input $5/M output

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

anthropic/claude-opus-4.5:batch 200K context $2.5/M input $12.5/M output