Available Models

DOS AI serves high-quality open-source LLMs and frontier cloud models via an OpenAI-compatible API. Self-hosted models run on dedicated GPU clusters in Singapore (asia-southeast1-b) with NVMe storage and sub-250ms TTFT. Cloud models are served via enterprise partner backends for maximum coverage and high availability.

Smart Routing (auto)

Use auto (or dos-auto) as the model ID to let the DOS AI Smart Router automatically select the best model for each request. The router classifies incoming prompts into 3 complexity tiers (Simple, Medium, Complex) using task classification, reasoning depth, and context length.

response = client.chat.completions.create(
    model="auto",  # Smart routing dynamically selects the optimal model
    messages=[{"role": "user", "content": "Analyze this multi-step agent workflow..."}],
)

Escalation Hierarchy for Complex Requests

When a request requires advanced multi-step reasoning, complex coding, or autonomous agent loops, the Smart Router escalates to the lowest-priority active tier with verified tool calling and reasoning support:

Priority	Model	Provider / Backend	Context	Input (per 1M)	Output (per 1M)	Strengths
1 (Primary)	GPT-6 Luna	OpenAI / Azure Foundry	1.05M	$0.10	$0.50	Frontier efficiency, fast tool calling, agent loops
2	Gemini 3.8 Flash	Google Cloud	1M	$0.79	$3.94	Sub-second TTFT, multimodal, massive context
3	Qwen 3.8 Max	Alibaba Cloud	1M	$2.00	$6.00	Complex bilingual logic, deep mathematical reasoning

Note: Simple and Medium tier requests remain on the in-house self-hosted model (dos) to optimize speed and cost.

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Model Catalog

Curated Platform Models & In-House Cluster (dos)

dos (or dos-ai) is DOS.AI's curated meta-model and intelligent execution endpoint, pre-tuned for DOSClaw agent workflows, ReAct loops, and native tool-calling with zero markup. Requests sent to model: "dos" default to the self-hosted Singapore GPU cluster (qwen3.8-27b at $0.07 input / $0.50 output per 1M tokens).

The platform also provides a Curated Model Pool of pre-selected, cost-efficient engines that can be invoked directly at each engine's exact wholesale list rate:

Engine	Provider	Context	Input Price (1M)	Output Price (1M)	Best For
Qwen 3.8 27B Dense	DOS.AI (Singapore GPU)	256K	$0.07	$0.50	In-house low-latency agent loops, sub-250ms TTFT
GPT-6 Luna	OpenAI / Azure	1.05M	$0.10	$0.50	Complex reasoning, structured outputs, 1.05M context
Gemini 3.8 Flash	Google Cloud	1M	$0.79	$3.94	Ultra-fast multimodal processing, sub-second TTFT
DeepSeek V4.1 Flash	DeepSeek / Alibaba	1M	$0.30	$1.20	MoE high-throughput reasoning and coding logic

High-Availability & Circuit Breakers

Requests to model: "dos" execute on the in-house Singapore GPU cluster with automatic multi-provider circuit breaker failover defined in the Supabase catalog, ensuring 99.99% continuity during upstream provider maintenance.

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Frontier & Cloud Models

Model	Provider	Context	Input Price (1M)	Output Price (1M)	Model ID	Key Capabilities
GPT-6 Luna	OpenAI / Azure	1.05M	$0.10	$0.50	gpt-6-luna	Frontier reasoning, tools, 1.05M context
GPT-6 Sol	OpenAI / Azure	1.05M	$2.00	$10.00	gpt-6-sol	Frontier flagship, deep architectural reasoning
GPT-6 Astra	OpenAI	1.05M	$5.00	$25.00	gpt-6-astra	Next-gen multistep engineering, async tools
Gemini 3.8 Flash	Google Cloud	1M	$0.79	$3.94	gemini-3.8-flash	Hybrid reasoning, vision, sub-second TTFT
DeepSeek V4.1 Flash	Alibaba / DeepSeek	1M	$0.30	$1.20	deepseek-v4.1-flash	MoE, controllable thinking, 1M context
DeepSeek V4 Pro	DeepSeek / Alibaba	1M	$2.40	$4.80	deepseek-v4-pro	Mathematical reasoning, complex agent workflows
Qwen 3.8 Flash	Alibaba Cloud	1M	$0.15	$0.47	qwen3.8-flash	Ultra-fast lightweight reasoning, high-throughput chat
Qwen 3.8 27B	Alibaba Cloud	1M	$0.50	$3.00	qwen3.8-27b	Dense reasoning, tool calling, explicit caching
Qwen 3.8 Max	Alibaba Cloud	1M	$2.00	$6.00	qwen3.8-max	Multilingual reasoning, complex logic
Claude Sonnet 5	Anthropic	1M	$3.00	$15.00	claude-sonnet-5	Enterprise agentic coding, 128K output
Claude Opus 5	Anthropic	1M	$15.00	$75.00	claude-opus-5	Flagship reasoning, long-horizon tasks
Muse Wonder 1.0	Meta	128K	$0.30	$1.20	muse-wonder-1.0	Multimodal design, UI/UX & front-end code generation
Muse Spark 1.3	Meta	128K	$0.36	$1.52	muse-spark-1.3	Flagship multimodal reasoning, native tool use, visual chain-of-thought
Muse Spark 1.3 (Contributor)	Meta	128K	$0.00	$0.00	muse-spark-1.3-contributor	Complimentary contributor tier for multimodal reasoning & tools
Muse Spark 1.2	Meta	128K	$0.26	$1.04	muse-spark-1.2	Fast multimodal chat, vision & tool calling
Muse Spark 1.1	Meta	128K	$0.36	$1.42	muse-spark-1.1	Foundational Muse Spark release with vision & structured outputs

All prices are in USD and strictly adhere to DOS AI's Zero-Markup Policy (100% of provider published list price). Check GET /v1/catalog or the web dashboard for real-time status.

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Embedding Models

Model	Provider	Dimensions	Max Input Tokens	Model ID
Qwen3-Embedding-4B	Alibaba / Self-hosted	2560	32,768	qwen3-embedding-4b
BGE-Large-EN-v1.5	Cloudflare / BAAI	1024	512	baai/bge-large-en-v1.5

See the Embeddings API reference for request/response formats and code examples.

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Image Generation Models

DOS.AI supports specialized text-to-image and visual generation models for autonomous agents, MCP marketing tools (generate_marketing_image), and direct visual generation:

Model	Provider	Resolution / Tiers	Billing Unit	Model ID	Primary Use Case
Wan 2.2 T2I Flash	Alibaba Cloud	Up to 1024×1024	Per Image ($0.08)	wan2.2-t2i-flash	High-speed creative marketing visual generation, banners
Gemini Image (Nano Banana 2)	Google Cloud	1K / 2K	Variable Tokens (Input + Output)	nano-banana-2	Multimodal instruction-following, bilingual marketing copy
Nano Banana Pro	Google Cloud	1K / 2K	Variable Tokens (Input + Output)	nano-banana-pro	High-fidelity photorealistic rendering and design assets

Agent Model Priority Rule: In DOSClaw, image generation models can be included in an agent's ordered Model Priority list (model_chain) to designate preferred visual tool routes. However, an image model cannot be assigned as the Primary Chat Model (model_chain[0]), which strictly requires conversational chat capabilities.

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Model Details

GPT-6 Luna

OpenAI's latest cost-efficient frontier reasoning model. Features state-of-the-art instruction following, coding, structured JSON outputs, and native tool-calling agent capabilities at more than 50% lower cost than previous generations ($0.10 in / $0.50 out).

• Best for: Autonomous agent loops, function calling, high-volume production chat, code assistance

• Strengths: 1.05M context window, exceptional price-to-performance, Azure Foundry low-latency hosting

• Model ID: gpt-6-luna

DOS Curated Meta-Model (dos)

DOS.AI's curated meta-model pre-tuned for DOSClaw agent workflows, ReAct loops, and low-latency execution. Served from our in-house Singapore GPU cluster (sub-250ms TTFT) with unified zero-markup billing.

• Best for: Agent turn executions, customer support, fast interactive chat, CJK bilingual tasks

• Strengths: Sub-250ms TTFT, 256K context, pre-selected 4-engine curated pool, automatic catalog circuit breakers

• Model ID: dos, dos-ai

Gemini 3.8 Flash

Google's high-speed multimodal reasoning model with hybrid thinking, 1M context window, and sub-second execution.

• Best for: Real-time document parsing, large multimodal payloads, high-throughput applications

• Strengths: 1M context, sub-second TTFT, native audio/video/image comprehension

• Model ID: gemini-3.8-flash

Meta Muse Family (muse-wonder-1.0 & muse-spark-1.3)

Meta Superintelligence Labs' flagship natively multimodal family built for visual chain-of-thought reasoning, multi-agent orchestration, and high-craft front-end/UI engineering.

• Best for: UI/UX design & interactive front-end code generation (muse-wonder-1.0), multimodal reasoning & tool calling (muse-spark-1.3)

• Strengths: 128K context window, native vision + text input, 89%–90% prompt caching discount ($0.04/1M cached input), complimentary muse-spark-1.3-contributor tier

• Model ID: muse-wonder-1.0, muse-spark-1.3, muse-spark-1.3-contributor, muse-spark-1.2, muse-spark-1.1

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Choosing the Right Model

Use Case	Recommended Model	Why
Let DOS AI decide	auto	Smart Router dynamically matches task complexity and cost
Fastest agent execution & lowest latency	dos	Self-hosted 27B dense cluster in Singapore, sub-250ms TTFT
Ultra-low cost frontier reasoning	gpt-6-luna	$0.10 / $0.50 per million tokens with 1.05M context
Sub-second large document analysis	gemini-3.8-flash	1M context window, Google Cloud high-throughput backend
UI/UX design & front-end code generation	muse-wonder-1.0	Meta's specialized design & creative coding model ($0.30 / $1.20 per 1M)
Enterprise agentic coding & architecture	claude-sonnet-5	Frontier coding quality with 128K max output tokens
Deep mathematical reasoning	deepseek-v4-pro	SOTA chain-of-thought problem solving

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Operational Telemetry & Provider Comparison

Every model detail page in the Dashboard features live, rolling operational telemetry across all active provider routes:

Metric	Description	Source / Contract
Median Latency (p50)	Median round-trip execution latency	Real observed inference requests over a 7-day rolling window
P95 Latency	95th-percentile response latency	Measures tail latency under peak conditions
TTFT (Time-to-First-Token)	Time to first streaming token	Observed on streaming requests across edge locations
Throughput (TPS)	Tokens generated per second (tok/s)	Real measured generation throughput
Uptime & Reliability	Success ratio percentage over total attempts	Excludes client-side cancellations and user-side bad requests

Telemetry Sample Threshold: To maintain rigorous evidence standards, a model route requires at least 20 valid samples before publishing live operational telemetry. Routes with fewer observations report insufficient_data or unavailable with clean dash (-) indicators until warmed up.

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Independent Benchmarks

DOS AI continuously synchronizes independent benchmark evidence from leading evaluation authorities, attributing each metric with capture dates and direct evaluation links:

• Artificial Analysis: Intelligence Index, Coding Index, and Agentic Index.

• Design Arena: Elo rating, win rate percentage, and leaderboard rank.

Benchmark scores are displayed directly on each model's detail page, complete with normalized visual progress bars (0–100) and direct hyperlinks to public methodology audits.

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Listing Models via API

Retrieve the current list of available models programmatically:

curl https://api.dos.ai/v1/models \
  -H "Authorization: Bearer $DOS_API_KEY"

For the full retail catalog including pricing, context lengths, and capability flags:

curl https://api.dos.ai/v1/catalog \
  -H "Authorization: Bearer $DOS_API_KEY"