ModelA 9-Pro: A New Standard in Intelligent AI
ModelA 9-Pro is the most capable ModelA model yet, engineered to handle the hardest problems you throw at it, from deep reasoning and research to multi-step technical workflows and complex analysis.
Built for developers, researchers, and power users, it sits at the top of the ModelA lineup with an emphasis on depth, compositional reasoning, and practical performance.
Here’s how it fits into the ModelA family:
- Pico: ultra-light, background tasks with no deep reasoning.
- Nano: everyday conversational AI with adaptive reasoning.
- Base 9: strong all-around performer with full reasoning.
- Pro: deep, extended reasoning at its best, this is our flagship.
🔍 What Makes ModelA 9-Pro Different
ModelA 9-Pro isn’t just a bigger model, it’s built for thinking:
🧠 Extended Reasoning
Where Base 9 provides solid answers, Pro goes further, it applies deeper chains of thought, enables multi-step problem solving, and better handles complex queries that require planning and synthesis.
This makes it ideal for:
- Technical work (code analysis, system design)
- Long-form research tasks
- Multi-stage decision processes
- Complex reasoning workflows
🆚 When to Use Pro vs Base 9
Use Pro when:
- You need thorough, stepwise logic
- The output must synthesize multiple steps of context
- You’re solving non-trivial reasoning tasks
Use Base 9 when:
- You want efficient performance with broad reasoning
- Tasks require good general understanding but not deep cascaded reasoning
📊 Benchmarks
We ran Pro on trusted benchmarks to provide comparable context. Here’s how ModelA 9-Pro performed:
| Benchmark | Score |
|---|---|
| GSM8K (math) | 89% |
| TruthfulQA (truthfulness) | 57 |
🧪 Honest Comparison to Competitors
What this shows:
- Pro holds its own on math and reasoning out to many leading models.
- In truthfulness, it lands in the competitive cluster with top models like Gemini 3 Pro and Grok 4.
- Claude 4.5’s TruthfulQA-style performance appears higher, showing strengths in conservative truth-aligned tasks.
These results are contextual and transparent, real scores rather than hidden claims.
💰 Pricing & Value
One of Pro’s strongest differentiators is value per capability.
🔍 Typical LLM Pricing Landscape
Competitor APIs vary widely in cost:
| Model | Input / 1M tokens | Output / 1M tokens |
|---|---|---|
| GPT-5.2 | $1.75 | $14.00 |
| Gemini 3 Pro | $2.00–$4.00 | $12.00–$18.00 |
| Claude 4.5 Sonnet | $3.00 | $15.00 |
| Grok 4 | $3.00 | $15.00 |
📈 ModelA 9-Pro Cost
ModelA 9-Pro pricing is:
- $3.75 per million input tokens
- $18.75 per million output tokens
This positions 9-Pro as competitive on price and capability relative to many flagship APIs, offering competitive frontier-class reasoning compared to some enterprise models.
👨💻 Who It’s For
Pro is built for:
- Developers who need reliable reasoning for software workflows
- Researchers tackling complex analytical tasks
- Power users who demand both depth and consistency
🛠️ How to Use ModelA 9-Pro
ModelA 9-Pro is available across the Nova Suite ecosystem:
🌌 Astro
Use 9-Pro directly in Astro with an 8,000-token context and 10-hour session stability. It’s tuned for interactive reasoning when the task needs more depth.
📡 NovaAI API
Pro is available through the NovaAI API for developers. Get started with the API, documentation and quickstarts are here:
🔗 devdocs.novasuite.one/novaai/api/quickstart
Example usage and integration patterns are available in the docs.
🔮 What’s Next
ModelA’s roadmap isn’t slowing down. Upcoming priorities include:
- Enhanced context handling: longer windows without cost spikes
- Specialized task tuning: fine-tuned variants for coding, planning, and domain experiments
- Dynamic scaling: adaptive compute and reasoning modes without user intervention
The goal: fewer barriers between intent and outcome, whether you’re building products, research pipelines, or tools that rely on trustworthy reasoning.