November 2025
Chat Model
NGen 3.5 Max
The strongest NGen 3.5 conversational model for high-accuracy enterprise reasoning and multimodal work.

Overview
NGen 3.5 Max represents the highest-capability tier of the NGen 3.5 family. It is built for enterprise applications that require stronger accuracy across knowledge, reasoning, coding, and multimodal intelligence.
Context & Specs
Context Length
262,144 tokens
Multimodal
Native support
Model Priority
Maximum 3.5-series capability
Pricing
Rs 0.79 input / Rs 1.18 output per 1K tokens
Key Capabilities
- Maximum performance and capability across the NGen 3.5 benchmark profile.
- Advanced vision intelligence with multimodal understanding.
- Superior reasoning and mathematical problem solving for complex workflows.
- Enterprise-grade alignment and instruction following.
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
Vision & Multimodal Intelligence
NGen 4 and NGen 3.5 series compared with Gemini 2.5 Flash and GPT-5 Nano.
- NGen 4 Pro
- NGen 4 Mini
- NGen 3.5 Max
- NGen 3.5 Pro
- Gemini 2.5 Flash-Lite
- GPT-5 Nano
Text, Reasoning & Coding Benchmarks
| Category | Benchmark | Score | Industry Avg. |
|---|---|---|---|
| Knowledge | MMLU-Pro | 75.8 | 81.2 |
| Reasoning | GPQA | 71.2 | 68.4 |
| Reasoning | AIME 25 | 89.1 | 70.9 |
| Coding | LiveCodeBench | 62.5 | 57.4 |
| Alignment | Arena-Hard v2 | 41.8 | 36.3 |
Vision & Multimodal Benchmarks
| Category | Benchmark | Score | Industry Avg. |
|---|---|---|---|
| STEM | MMMU (Val) | 75.6 | 74.1 |
| Math | MathVista | 83.2 | 81.4 |
| OCR | DocVQA | 95.6 | 95.3 |
| Video | MVBench | 74.7 | 69 |

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