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

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

qwen/qwen3.5-122b-a10b 262.144K context $0.26/M input $2.08/M output

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

thinkingmachines/inkling:free 1.04858M context Free input Free 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

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

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

openai/gpt-4o-mini:batch 128K context $0.075/M input $0.3/M output

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

z-ai/glm-5.3-flash 1.04858M context $0.15/M input $0.5/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-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

openai/gpt-4.1:batch 1.04758M context $1/M input $4/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

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

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

thinkingmachines/inkling-small:batch 524.288K context $0.5/M input $1.2/M output

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

qwen/qwen3.5-27b 262.144K context $0.195/M input $1.56/M output

This model always redirects to the latest Grok model from xAI.

~x-ai/grok-latest 500K context $2/M input $6/M output

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

google/gemini-3.7-flash:batch 1.04858M context $0.375/M input $1.875/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

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

anthropic/claude-sonnet-4.5:batch 1M context $1.5/M input $7.5/M output

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

meta-llama/llama-3.2-11b-vision-instruct 131.072K context $0.345/M input $0.345/M output

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

openai/gpt-5.5-pro:batch 1.05M context $15/M input $90/M output

No provider description is available for this model yet.

gmi/google/gemini-3-pro-preview 1.04858M context $2/M input $12/M output

No provider description is available for this model yet.

gmi/google/gemini-3-flash-preview 1.04858M context $0.5/M input $3/M output

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

openai/gpt-5.6-luna:batch 1.05M context $0.1/M input $0.6/M output

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

openai/gpt-5.1:batch 400K context $0.625/M input $5/M output

No provider description is available for this model yet.

openai/chatgpt-4o-latest 128K context $5/M input $15/M output

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

anthropic/claude-haiku-4.5:batch 200K context $0.5/M input $2.5/M output