PRODUCT SUITE
Deeper analysis over searched evidence. It connects facts, resolves conflicts, and reasons through complex information to reach a defensible conclusion.
Single-Agent ReAct Architecture with 397B Reasoning
A 397B parameter model running a deep search-reason loop. Deep Solve goes beyond retrieval — it connects evidence, resolves contradictions, and reasons toward a defensible conclusion.
Apodex Deep Solve Model
397B parameter model built for multi-step reasoning over complex, conflicting, or sparse evidence.
Deep Research Mode
ReAct Loop Iterative Reason + Act cycles: the agent plans a search, executes it, reads the result, and decides the next step — until the answer is complete and generates a report.
First-Principles Reasoning
Derives answers from foundational axioms — not just retrieved evidence. Deep Solve is built to reason from the ground up when existing knowledge runs out.
Where Deep Solve Fits
Other Deep Research Models
Apodex Deep Research
Apodex Deep Solve
Apodex Deep Discover
Approach
Search → Summarize
Search → Synthesize
Search → Reason
Reason → Verify → Discover
Verification
Self-reflection only
Self-reflection only
Self-reflection only
In-flight team + Local & Global Verifier
Scale
Single LLM call · no agentic loop
1 agent + deep research mode (35B)
1 agent + deep research mode (397B)
An OS with agent team: Up to 150 agents · 15,000+ steps
Use Case
Synthesizing known answers
Fast, source-grounded answers
Complex technical problems
Open-ended scientific discovery
Deeper Solving, Stronger Results
Apodex Deep Solve (397B) on publicly available benchmarks — outperforms leading closed-source systems on complex reasoning tasks.
80.3
Outperforms OpenAI GPT-5.2 (75.0), Claude Opus 4.5 (71.0) on scientific reasoning
69.0
SuperChem
Outperforms OpenAI GPT-5.2 (58.0), Gemini 3.0 Pro (63.2) on chemistry reasoning
52.9
Hard Deep Research
#1 among all tested systems — beats Claude, GPT-5.4, and Gemini
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