Model Catalog•6 Architecture Specifications

AI Foundation Models

Explore frontier foundation models, verified benchmarks, 6-axis capability radar, hardware VRAM sizing, and real-time token pricing economics.

Active Filters:Domain: VideoFormat: ProprietaryClear all
Anthropic/Reasoning
Proprietary API

Claude Opus 5.5

The frontier reasoning summit from Anthropic featuring a native 1-million-token context window, 92%+ SWE-bench Verified resolution, and hierarchical multi-agent verification.

Context Window1,000k ctx
Pricing In / Out\$10 / \$50
SWE-bench Verified92.1 % resolved
Overall DNA:98/100
Architecture & Specs
OpenAI/Reasoning
Proprietary API

GPT-6 Astra

OpenAI's interstellar autonomous research summit for the GPT-6 generation, achieving 92.8% on SWE-bench Verified, 96.2% on GPQA Diamond, and native omni-modal execution across 1M context.

Context Window1,000k ctx
Pricing In / Out\$12 / \$48
SWE-bench Verified92.8 % resolved
Overall DNA:99/100
Architecture & Specs
Google DeepMind/Code
Proprietary API

Gemini 4 Carbon

Gemini 4 Carbon is Google DeepMind's frontier model for long-horizon engineering, coding, agentic workflows, and cybersecurity defense. Google says its initial rollout is limited to selected cyber defenders and trusted partners, with broader developer access planned.

Context Window1,000k ctx
Pricing In / Out\$2 / \$10
SEC-bench Pro88.2 %
Overall DNA:98/100
Architecture & Specs
Anthropic/Reasoning
Proprietary API

Claude Opus 5

Anthropic's fifth-generation intelligence flagship, bringing full omni-modal audio/video/image capabilities, 500k context, and deep multi-hop self-critique reasoning.

Context Window500k ctx
Pricing In / Out\$10 / \$50
SWE-bench Verified89.4 % resolved
Overall DNA:97/100
Architecture & Specs
Anthropic/General
Proprietary API

Claude Fable 5.1

Anthropic's current flagship creative simulation and multimodal narrative agent, featuring adaptive emotional prosody, complex scenario branching, and multi-persona alignment.

Context Window500k ctx
Pricing In / Out\$5 / \$25
Chatbot Arena Elo1510 Elo
Overall DNA:93/100
Architecture & Specs
Google/Multimodal
Proprietary API

Gemini 2.0 Flash

Google's next-generation multimodal model built for the agentic era with sub-second latency, native tool use, and a 1,000,000 token context window.

Context Window1,048.576k ctx
Pricing In / Out\$0.1 / \$0.4
MMLU-Pro77.2 % pass@1
Overall DNA:86/100
Architecture & Specs

How to Choose the Right Foundation Model for RAG & AI Agents

Context Window for RAG

Retrieval-Augmented Generation (RAG) pipelines benefit from large context windows. Models like Gemini 1.5 Pro (2M tokens) and Claude 3.5 Sonnet (200k tokens) can ingest entire document corpora in a single pass, reducing chunk overlap and retrieval errors. For most RAG workloads, a 128k+ context window is sufficient.

Best Models for AI Agents

Agentic workloads require strong tool-use, function-calling, and instruction-following. GPT-4o and Claude 3.5 Sonnet consistently top agentic benchmarks like SWE-Bench and WebArena. For cost-efficient agents, GPT-4o mini and Claude 3.5 Haiku offer strong performance at a fraction of the price.

Open vs Proprietary for Production

Open-weight models (Llama 3, Mistral, Gemma) offer zero data-retention and full customisation via fine-tuning — ideal for regulated industries. Proprietary APIs (GPT-4o, Claude) trade control for frontier performance and zero infrastructure overhead. The choice depends on latency, cost, and compliance requirements.

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