No provider description is available for this model yet.

qwen_ai_platform/qwen3-vl-plus 260.096K context Input not listed Output not listed

No provider description is available for this model yet.

qwen_ai_platform/qwen3.5-plus 991.808K context Input not listed Output not listed

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qwen_ai_platform/qwen3.7-plus 991.808K context Input not listed Output not listed

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qwen_ai_platform/qwen3.8-max 991.808K context $2/M input $6/M output

No provider description is available for this model yet.

friendliai/zai-org/glm-5.3-flash 1.04858M context $0.15/M input $0.5/M output

No provider description is available for this model yet.

cerebras/gemma-4-31b 131.072K context $0.99/M input $1.49/M output

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

openai/gpt-5.6-terra:batch 1.05M context $1/M input $6/M output

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

minimax/minimax-m3:free 1.04858M context Free input Free output

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

nex-agi/nex-n2.5-pro:free 262.144K context Free input Free output

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

meta/muse-glimmer-30b:batch 131.072K context $0.175/M input $0.75/M output

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

x-ai/grok-4.20 2M context $1.25/M input $2.5/M output

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

qwen/qwen3.6-plus 1M context $0.325/M input $1.95/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

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

mistralai/ministral-8b-2512 262.144K context $0.15/M input $0.15/M output

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

z-ai/glm-5v-turbo 202.752K context $1.2/M input $4/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

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

mistralai/mistral-large-2512 262.144K context $0.5/M input $1.5/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

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

mistralai/mistral-small-3.2-24b-instruct 128K context $0.075/M input $0.2/M output

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

google/gemini-2.5-pro:batch 1.04858M context $0.625/M input $5/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

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

openai/gpt-5.4-nano:batch 400K context $0.1/M input $0.625/M output

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

mistralai/ministral-8b-2512:batch 262.144K context $0.075/M input $0.075/M output

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

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

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

anthropic/claude-sonnet-4.6 1M context $3/M input $15/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

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

openai/gpt-5.2:batch 400K context $0.875/M input $7/M output

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

anthropic/claude-opus-4.7:batch 1M context $2.5/M input $12.5/M output

No provider description is available for this model yet.

azure_ai/gpt-chat-latest 272K context $5/M input $30/M output

No provider description is available for this model yet.

vertex_ai/xai/grok-4.3 200K context $1.25/M input $2.5/M output

No provider description is available for this model yet.

azure_ai/grok-4-20-reasoning 262K context $1.25/M input $2.5/M output

No provider description is available for this model yet.

vertex_ai/xai/grok-4.6 524.288K context $2/M input $6/M output

No provider description is available for this model yet.

azure_ai/grok-4-20-non-reasoning 262K context $1.25/M input $2.5/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

No provider description is available for this model yet.

azure/gpt-6-astra 922K context $10/M input $50/M output

No provider description is available for this model yet.

azure/us/gpt-6-astra 922K context $11/M input $55/M output

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

openai/gpt-4-turbo:batch 128K context $5/M input $15/M output

No provider description is available for this model yet.

azure_ai/grok-4.6 200K context $2/M input $6/M output