Together AI
on Orq.ai
Access models hosted through Together AI using Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Code
Vision
Speech
Models Supported:
GLM-5.2
Kimi K2.7 Code
Kimi K2.6
DeepSeek V3
meta-llama/Llama-3.3-70B-Instruct-Turbo
meta-llama/Meta-Llama-Guard-4-12B
...
Provider HQ:
San Francisco, California
Access Together AI through Orq.ai’s AI Router
Together AI is an AI infrastructure and model-hosting provider focused on serving open and open-weight models through managed inference. Its platform supports language, coding, multimodal, and other workloads through serverless and dedicated deployment options.
Together AI models available on Orq.ai
Compare the Together AI-hosted models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
GLM-5.2
chat
Reasoning
262K
$1.40
$4.40
Kimi K2.7 Code
chat
Reasoning
Vision
Video
262K
$0.95
$4.00
Kimi K2.6
chat
Reasoning
Vision
Video
262K
$1.20
$4.50
Why use Together AI through Orq.ai?
Using Together AI through Orq.ai lets teams add hosted open and open-weight models to a wider model stack without maintaining separate routing, evaluation, observability, and cost-control logic for each provider.
Capability | Provider | Direct | Through Orq.ai |
|---|---|---|---|
Chat & reasoning | Models hosted through Together AI | Call supported models directly through Together AI for chat, reasoning, generation, and retrieval-augmented workloads. | Route Together AI-hosted models through Orq.ai while applying routing, tracing, evals, budgets, and governance controls around each request. |
Coding | Models hosted through Together AI | Use supported models for code generation, debugging, refactoring, and other coding workflows. | Route coding workloads through Orq.ai, compare Together AI with other providers, and monitor cost, latency, and quality from a shared control layer. |
Multimodal | Supported Together AI models | Use supported models directly for image, audio, vision, and other multimodal workloads where available. | Combine multimodal workloads with other models and providers while keeping observability, evaluation, and governance in the same platform. |
Pricing
Together AI pricing varies by model, workload type, deployment option, usage volume, and billing configuration.
Serverless inference and dedicated deployments may use different pricing models, while specialized capabilities such as fine-tuning or multimodal generation can have their own usage structures.
You can connect supported Together AI credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Together AI setup for current rates, quotas, and billing details.
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Supported Together AI models can be incorporated into Orq.ai workflows depending on the model, endpoint, and integration configuration.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for Together AI.
FAQs
Do I need a separate Together AI account to use Together through Orq.ai?
You can connect supported Together AI credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Together AI and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use Together AI where open-model access, deployment flexibility, cost, or model availability fit the workload while routing other requests elsewhere.
Does using Together AI through Orq.ai add latency?
Orq.ai adds a routing layer between your application and the model provider. Teams can monitor end-to-end latency and use routing, caching, and provider controls where appropriate to manage performance.
Alternatives to
Together AI
Anthropic
Access Anthropic’s Claude models through Orq.ai for reasoning, coding, vision, and agentic workflows through one API.
Chat
Reasoning
Vision
Models:
claude-opus-5
claude-sonnet-5
claude-fable-5
Open AI
Access OpenAI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
Google AI
Access Google’s AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
gemini-3.5-flash-lite (Gemini API)
gemini-3.6-flash (Gemini API)
Gemini 3 Pro Image
AWS
Access foundation models available through Amazon Bedrock using Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
eu.anthropic.claude-opus-5
global.anthropic.claude-opus-5
us.anthropic.claude-opus-5
