December 2025
Chat Model
NGen 3.9 Pro
Professional-grade NGen 3.9 intelligence for complex enterprise conversations and reasoning workflows.
Overview
NGen 3.9 Pro is a professional-grade model with stronger contextual processing and complex reasoning than the earlier 3.5 series. It is intended for sophisticated product workflows where accuracy, responsiveness, and instruction following all matter.
Context & Specs
Context Length
262,144 tokens
Model Priority
Professional-grade reasoning
Best For
Enterprise assistants, planning workflows, coding support, and contextual analysis.
Pricing
Rs 0.33 input / Rs 0.50 output per 1K tokens
Key Capabilities
- Advanced contextual processing across long conversations and documents.
- Superior logical reasoning and problem solving for structured work.
- Optimized for complex enterprise workflows and internal assistants.
- Enhanced instruction following and alignment relative to previous Pro snapshots.
Snapshots
NGen 3.9 Pro Chat
Stable professional-grade snapshot.
NGen 3.9 Pro 2406 Preview
Preview snapshot for newer Pro behavior.
Availability
Served from TNSA’s Indian regions.
India South
in-south
India Central
in-central
US East-1
Not available
NGen 3 Series Reasoning & Knowledge
Zero-shot performance of the NGen 3.9 and 3.5 series.
- NGen 3.9 Max
- NGen 3.9 Pro
- NGen 3.5 Max
- NGen 3.5 Pro
- OpenAI o3-mini
- OpenAI o4-mini
- DeepSeek R1 0528
Advanced Text & Reasoning
Comparing NGen 4 and NGen 3 series against Qwen3, DeepSeek, and Llama 4.
- NGen 4 Pro
- NGen 4 Mini
- NGen 3.9 Max
- NGen 3.9 Pro
- NGen 3.5 Max
- Qwen3 30B A3B
- DeepSeek R1 0528
- Llama 4 Maverick
Logic & Mathematical Reasoning
Frontier performance on AIME 25 and HMMT 25 benchmarks.
- NGen 4 Pro
- NGen 4 Mini
- NGen 3.9 Max
- NGen 3.5 Max
- Qwen3 4B (2507)
- Qwen3 4B Think
Advanced Engineering & Coding
Comparative analysis on LiveCodeBench and CFEval.
- NGen 4 Pro
- NGen 4 Mini
- NGen 3.9 Max
- NGen 3.5 Max
- DeepSeek R1 0528
- Llama 4 Maverick
Performance Benchmarks
| Category | Benchmark | Score | Industry Avg. |
|---|---|---|---|
| Knowledge | MMLU-Pro | 77.2 | 81.2 |
| Knowledge | MMLU-Redux | 90.4 | - |
| Reasoning | GPQA | 63.1 | 68.4 |
| Reasoning | AIME 25 | 72.6 | 70.9 |
| Coding | LiveCodeBench | 54.4 | 57.4 |
| Alignment | Arena-Hard v2 | 19.7 | 36.3 |
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