AMOTELE
Open AMOTELE
AMOTELE Model Architecture Suite

Frontier Foundation Models. Specialized for Maximum Performance.

Every AMOTELE model is purpose-built for distinct computational workloads: sub-second conversational throughput, deep mathematical chain-of-thought verification, million-token enterprise document retrieval, and bidirectional speech intelligence.

Launch AMOTELE StudioIntegrate via Developer APIView Benchmark Suite

Available Model Endpoints

Access every model interactively in the chat interface or programmatically via standard OpenAI-compatible API calls.

Flagship< 280ms TTFT

AMOTELE

Flagship General Intelligence

Full-stack code generation, interactive chat, systems debugging, content creation, rapid prototyping, and API integration.

Context Window128,000 tokens
Max Output8,192 tokens
ArchitectureSparse Mixture-of-Experts (MoE)
Throughput145 tokens/sec
MMLU89.4%
HumanEval92.8%
MATH88.2%
  • Sub-300ms time to first token with speculative decoding
  • Expert coding intelligence across 40+ programming languages
  • Zero-shot tool use and strict JSON output mode
  • Developer-first neutral objective engineering tone
Open AMOTELE in StudioAPI Spec
Deep Reasoning< 420ms TTFT

AMOTELE Reasoning

Formal Logic & Chain-of-Thought

Formal mathematical proofs, algorithmic complexity analysis, security audits, financial quantitative modeling, and autonomous planning.

Context Window256,000 tokens
Max Output16,384 tokens
ArchitectureTest-Time Compute (TTC) Dynamic Tree Search
Throughput95 tokens/sec
MMLU91.8%
HumanEval94.6%
MATH96.4%
  • Autonomous chain-of-thought step-by-step verification
  • State-of-the-art 96.4% score on formal MATH benchmark
  • Self-correcting hypothesis exploration before output emission
  • Mathematical and algorithmic formal proof synthesis
Open AMOTELE Reasoning in StudioAPI Spec
Enterprise RAG< 340ms TTFT

AMOTELE Knowledge

Verifiable Enterprise RAG

Enterprise document discovery, regulatory and compliance audits, legal contract synthesis, technical manual parsing, and academic research.

Context Window1,000,000 tokens
Max Output8,192 tokens
ArchitectureHierarchical Vector Embedding & Reciprocal Rank Fusion
Throughput120 tokens/sec
MMLU88.9%
HumanEval89.2%
MATH84.5%
  • 1 Million token context window with 99.98% retrieval fidelity
  • Zero data retention guarantees with ephemeral processing
  • Verifiable source attribution and exact clause citations
  • Multi-document cross-reference and discrepancy detection
Open AMOTELE Knowledge in StudioAPI Spec
Audio & Speech< 180ms Audio Latency

AMOTELE Voice

Conversational Speech Intelligence

Voice-driven developer pair programming, customer support automation, real-time transcription, and multimodal interactive voice agents.

Context Window64,000 tokens
Max OutputStreaming Audio
ArchitectureEnd-to-End Neural Speech-to-Speech
ThroughputReal-Time Duplex
MMLU86.5%
HumanEval87.0%
MATH81.2%
  • Sub-200ms round-trip speech synthesis and recognition
  • Natural conversational cadence with interruption handling
  • Integrated noise suppression and acoustic echo cancellation
  • Seamless fallback to high-precision text streaming
Open AMOTELE Voice in StudioAPI Spec
Vision Engine< 1.8s Generation

AMOTELE Vision

Neural Diffusion & Generative Imaging

Photorealistic concept visualization, architectural rendering, anime and digital art synthesis, and marketing asset generation.

Context Window1024x1024 Ultra-HD
Max OutputRaster PNG / JPEG
ArchitectureCascade Latent Diffusion & DiT Transformer
ThroughputMulti-Resolution
MMLU94.2%
HumanEval91.8%
MATH93.5%
  • Ultra-HD 1024x1024, 1280x720 (16:9), and 720x1280 (9:16) rendering
  • Integrated multi-engine cascade: Flux.1, DALL-E 3, and Imagen
  • Comprehensive style presets including Photorealistic, Anime, and 3D
  • OpenAI-compatible REST API integration with zero-friction onboarding
Open AMOTELE Vision in StudioAPI Spec

Model Capability Matrix

Direct side-by-side technical comparison across context capacity, reasoning depth, and latency profiles.

Model IDPrimary FocusContext LimitLatency (TTFT)Reasoning TokensAction
amoteleDefault General ModelCoding, fast synthesis, conversational speed128,000< 280msStandardLaunch →
amotele-reasoningDeep Logic EngineFormal math, logic puzzles, multi-step algorithms256,000< 420msTest-Time ComputeLaunch →
amotele-knowledgeEnterprise RAG Engine1M token context, compliance parsing, citation grounding1,000,000< 340msDynamic RAGLaunch →
amotele-voiceSpeech IntelligenceBidirectional voice duplex, natural voice transcription64,000< 180ms AudioAcoustic TokensLaunch →

Calling AMOTELE Models via API

Switching models requires simply changing the model parameter in your payload.

curl https://amotele.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_AMOTELE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "amotele-reasoning",
    "messages": [{"role": "user", "content": "Prove uniqueness of prime factorization."}],
    "temperature": 0.2
  }'