Features Overview
Tokatlas is built for teams that need production-ready access to frontier models without juggling multiple providers, SDKs, or integration formats. Whether you are shipping a product, running an agent workflow, or wiring models into your favorite coding assistant, you can manage model access through one gateway. Request formats and authentication headers still depend on the endpoint you select.
Unified Model Access
Connect to Claude, Gemini, GPT, and leading Chinese models through one API — no separate accounts or SDKs required.
Cross-Vendor Compatibility
When a route provides the required protocol translation, one client can use compatible models from different providers. Verify tool and streaming support for the chosen combination.
Production Reliability
Dedicated operations staff monitor uptime and performance so your integrations stay available when it matters.
Unified Access to Leading Models
Tokatlas operates as a stable API platform with a curated catalog of high-performance models from global and regional providers. Instead of maintaining separate integrations for each vendor, you authenticate once and route requests to the model that best fits your task.
Global Frontier Models
| Provider | Representative models | Best for |
|---|---|---|
| Anthropic | Claude Opus, Sonnet | Reasoning, coding, long-context tasks |
| Gemini Pro, Gemini Flash | Multimodal analysis, fast inference | |
| OpenAI | GPT-4o, GPT-4.1 | General-purpose chat, tool use, vision |
Chinese AI Models
We also support models from China's leading AI labs — ideal for teams that need regional model options, competitive pricing, or specialized capabilities in image and video generation.
| Provider | Focus areas |
|---|---|
| MiniMax | Text generation, conversational AI |
| Kling | Video generation and creative media |
| ByteDance (Doubao) | General-purpose language and multimodal tasks |
One API key, many models
Within one endpoint, switching compatible models usually only changes model. Switching protocols also changes the path, authentication headers, input format and response parsing. The model must be enabled for your account and support the required capabilities.
Why a unified gateway matters
- Less integration overhead — Manage the gateway address and key centrally, then use the endpoint and headers required by each protocol.
- Easier model switching — Evaluate Claude, Gemini, or GPT on the same workload without rewriting your client.
- Consistent request patterns — Familiar API shapes across endpoints, with vendor-native formats where compatibility matters.
Cross-Vendor Format Compatibility for Coding Tools
Modern AI coding assistants are often locked to a single provider's API format. Tokatlas removes that constraint with automatic request and response translation between vendor protocols.
Format translation does not give every model identical capabilities. Test the client, model and route together before enabling tool use or other advanced features.
How it works
Your coding tool → Tokatlas (format translation) → Target model provider
Claude Code Anthropic ↔ OpenAI ↔ Gemini Gemini / GPT
OpenCode OpenAI ↔ Anthropic ↔ Gemini Claude / GeminiRequirements for cross-model workflows
| Coding tool | Native format | Models you can use via Tokatlas |
|---|---|---|
| Claude Code | Anthropic Messages | Start with a Claude model using the Claude Code guide; other providers require confirmed translation and tool compatibility |
| OpenCode | OpenAI-compatible | Models with compatible routing and tool support; see the OpenCode guide |
What we handle for you
Request schema conversion, response normalization, streaming event mapping, and error format alignment — so your coding tool receives responses in the format it expects.
What this means in practice
- Use the best model for the job — Pick Gemini for speed, Claude for deep reasoning, or GPT for a familiar baseline — without changing your workflow.
- No forked tooling — Stay on official or community coding assistants; point the base URL to Tokatlas and select your model.
- Future-proof integrations — As new models ship, add them to your existing setup instead of waiting for native vendor support in your tool.
Enterprise-Grade Reliability and Support
API availability is not a nice-to-have — it is the foundation of every integration you ship. Tokatlas is operated by a dedicated team focused on uptime, latency, and responsive support.
Operational excellence
Proactive monitoring
Platform health, error rates, and latency are tracked around the clock so issues are caught before they affect your users.
Performance optimization
Routing, capacity, and infrastructure are tuned by operations specialists who understand production AI workloads.
Stable SLAs mindset
We design for consistency — predictable response times, clear error semantics, and minimal surprise downtime.
Professional after-sales support
When something does not work as expected, you are not left searching forums or filing tickets into a void. Our support team helps with:
- Integration troubleshooting — Authentication, request format, streaming, and model-specific behavior.
- Model selection guidance — Choosing the right model for coding, analysis, image, or video tasks.
- Production incidents — Fast escalation and clear communication when availability is impacted.
Built for teams shipping to production
Whether you are prototyping or running at scale, you get the same stable infrastructure and the same support channel.
Get Started
Ready to integrate? Start with the endpoint that matches your use case:
| Use case | Start here |
|---|---|
| Claude-compatible integrations | Messages API → |
| Gemini native quick start / Interactions reference | Gemini Messages → |
| OpenAI-compatible chat | Chat Completions → |
| OpenAI Responses format | Response API → |
| Image generation | Generate Image → |
| Video submission, polling, and download | Generate Video → |