AVELIN Model Families

AVELIN is an AI Laboratory that builds and trains Cross-Model MoE — a proprietary Mixture-of-Experts meta-model architecture with difficulty-based cascading. We fuse open-weight models into 9 specialist families across 3 categories, producing trained intelligence that exceeds any single model:

Cross-Model MoE is not routing or pass-through — it is a trained meta-model, not a router. A prompt-vector classifier (trained on 1 year of production data, 90% accuracy) classifies each request and applies difficulty-based cascading and cost-aware routing across specialist layers. Routers pick one model via if/else rules. We cascade across trained experts and synthesize. The platform is continuously self-improving: new models are evaluated and integrated within 48 hours of release.

Our models are available via enterprise licensing (sovereign deployment on your GPUs — request a POC) or cloud API (usage-based, $0.285–$12.50 per 1M tokens).

Renamed models: avelin-coding, avelin-coding-plus, avelin-coding-architect, avelin-agentic, and avelin-agentic-high are legacy names for avelin-coding-fast, avelin-coding-pro, avelin-coding-ultra, avelin-agentic-pro, and avelin-agentic-ultra. The old names keep working as server-side aliases. See the Model Catalog.

Intelligence Family

Frontier reasoning and multimodal intelligence — up to 85% cheaper than frontier alternatives.

The Intelligence family is built for analysis, strategy, knowledge work, research synthesis, and customer-facing assistants where answer quality, reasoning depth, and multimodal understanding come first. Through Cross-Model MoE, these models deliver frontier-tier intelligence under a single API with difficulty-based cascading for resilience and SLA-grade uptime.

Models in this family

Why 256K context matters: Process entire codebases, lengthy documents, or extended conversations in a single request. No chunking, no context loss, no compromises.

Key Capabilities

• Deep multi-step reasoning for complex problem solving
• Multimodal understanding (text, images, charts, documents)
• Vision support on all three tiers for image analysis and document understanding
• System messages for custom behavior and context
• Function calling for structured outputs and tool integration
• Streaming for real-time applications

When to use the Intelligence family

• Strategic planning and executive decision support
• Complex document analysis and synthesis
• Customer-facing assistants requiring high quality
• Research and knowledge work
• Multimodal tasks involving images, charts, or documents
• Tasks where accuracy and reasoning depth are critical

Pricing

See Pricing for complete pricing information including enterprise licensing and cloud API rates.

Coding Family

Enterprise coding agents — up to 86% cheaper than frontier alternatives.

The Coding family is purpose-built for software development workflows — from live debugging and root-cause analysis to multi-file refactors and whole-system design. These models are optimized specifically for software engineering, with tool use throughout; thinking is on by default on the pro and ultra tiers and off by default on the fast tier for latency. They're built for IDE plugins, autonomous coding agents, code-review pipelines, and engineering productivity platforms.

Models in this family

Why 1M context is a game-changer: Load entire repositories into context. Understand cross-file dependencies, trace execution paths across modules, and refactor with complete codebase awareness. This isn't just a large context window — it's whole-repository intelligence.

Key Capabilities

• Whole-repository understanding with 1M-token context windows
• Multi-file refactoring with cross-cutting impact analysis
• Live debugging and root-cause analysis
• Code generation across multiple languages and frameworks
• Test generation and code review
• Security analysis and vulnerability detection
• Architecture design and system planning
• Tool use for IDE integration and automation

When to use the Coding family

• Software development and engineering tasks
• Code generation, refactoring, and optimization
• Bug fixing and debugging
• Code review and security analysis
• System architecture and design decisions
• IDE plugin development
• Autonomous coding agents
• CI/CD pipeline integration

Pricing

See Pricing for complete pricing information including enterprise licensing and cloud API rates.

Agentic Family

Purpose-built for autonomous agents — up to 87% cheaper than frontier alternatives.

The Agentic family is optimized for cost-effective agent workflows that fire thousands of model calls per workflow. Through Cross-Model MoE, these models maintain frontier reasoning quality while keeping per-step economics low, making them ideal for agent teams, research pipelines, RAG systems, and orchestration layers. They support on-prem deployment for data sovereignty and air-gapped environments.

Models in this family

The agentic advantage: Purpose-built for autonomous workflows that think, plan, and execute across hundreds of steps. With 256K context, your agents can maintain coherent state across complex, long-running tasks without losing track of goals or context.

Key Capabilities

• Long-horizon planning across multiple steps and tools
• Reliable tool calling with structured outputs
• Parallel task orchestration for agent swarms
• Configurable reasoning effort for cost optimization
• On-prem deployment for regulated industries
• High throughput for volume workloads

When to use the Agentic family

• Autonomous and semi-autonomous agents
• Multi-tool workflows requiring planning and execution
• Research pipelines with iterative refinement
• RAG systems with retrieval and synthesis
• Orchestration layers managing multiple agents
• High-volume classification and extraction
• Regulated industries requiring data sovereignty
• Cost-sensitive agent backends

Pricing

See Pricing for complete pricing information including enterprise licensing and cloud API rates.

Utility Models

Specialized models for specific tasks beyond conversational AI.

Embeddings

bge-m3 - Multilingual embedding model optimized for retrieval tasks.

• Dimensions: 1024
• Max tokens: 8,192
• Languages: 100+ languages supported
• Use cases: Semantic search, clustering, RAG, similarity matching

See Pricing for current pricing.

Example:

curl https://api.avelin.ai/v1/embeddings \
  -H "Authorization: Bearer sk-avelin-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bge-m3",
    "input": "AVELIN is a sovereign AI platform."
  }'

Transcription

whisper-large-v3, whisper-large-v3-turbo, and avelin-stt - Speech-to-text models.

• Languages: 100+ languages with automatic detection
• Formats: mp3, mp4, mpeg, mpga, m4a, wav, webm (max 25MB)

See Pricing for current pricing.

Example:

curl https://api.avelin.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-avelin-YOUR_KEY" \
  -F model="whisper-large-v3-turbo" \
  -F file="@meeting.mp3"

Text-to-Speech

tts-1 and tts-1-hd - Voice synthesis with OpenAI-compatible model and voice names.

• Voices: OpenAI-compatible voice names (alloy, onyx, ...)
• Formats: mp3, opus, pcm

See Pricing for current pricing.

Example:

curl https://api.avelin.ai/v1/audio/speech \
  -H "Authorization: Bearer sk-avelin-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "voice": "alloy",
    "input": "Welcome to AVELIN."
  }' --output speech.mp3

Image Generation

avelin-imagegen and avelin-imagegen-pro - Text-to-image models.

See Pricing for current pricing.

• Sizes: 256x256, 512x512, 1024x1024, 1024x1792, 1792x1024
• Styles: Vivid, natural
• Quality: Standard, HD (pro only)

Example:

curl https://api.avelin.ai/v1/images/generations \
  -H "Authorization: Bearer sk-avelin-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "avelin-imagegen",
    "prompt": "A minimalist logo for a sovereign AI platform"
  }'

Choosing the Right Model

By Use Case

By Priority

Quality first: avelin-ultra, avelin-coding-ultra, avelin-agentic-ultra

Cost first: avelin-fast, avelin-agentic-fast, avelin-coding-fast

Speed first: avelin-fast, avelin-coding-pro, avelin-agentic-fast

Balanced: avelin-pro, avelin-coding-pro, avelin-agentic-pro

Model Capabilities Matrix

Related Documentation

• Pricing - Complete pricing and billing information
• API Reference - Complete API documentation
• Quickstart - Get started in 5 minutes
• How AVELIN Works - Technical architecture
• Evaluation - How AVELIN models are evaluated