TNSA

November 2025

Chat Model

NGen 3.5 Pro

Professional-grade conversational intelligence with stronger reasoning, coding, and multimodal coverage.

NGen 3.5 Pro

Overview

NGen 3.5 Pro is a professional-grade conversational model balanced for speed, quality, and dependable reasoning. It is tuned for enterprise workflows that need higher accuracy than Lite while remaining efficient enough for broad deployment.

Context & Specs

Context Length

262,144 tokens

Multimodal

Supported

Model Priority

Professional-grade speed and capability

Pricing

Rs 0.60 input / Rs 0.90 output per 1K tokens

Key Capabilities

  • Balanced performance for professional applications and enterprise assistants.
  • Strong reasoning and logical understanding for multi-step tasks.
  • High-speed responses for real-time product experiences.
  • Cost-effective operation for teams scaling beyond basic chat.

NGen 3 Series Reasoning & Knowledge

Zero-shot performance of the NGen 3.9 and 3.5 series.

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New massive-scale benchmarks released
Comparative analysis against industry-leading models

Advanced Text & Reasoning

Comparing NGen 4 and NGen 3 series against Qwen3, DeepSeek, and Llama 4.

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New massive-scale benchmarks released
Comparative analysis against industry-leading models

Logic & Mathematical Reasoning

Frontier performance on AIME 25 and HMMT 25 benchmarks.

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New massive-scale benchmarks released
Comparative analysis against industry-leading models

Advanced Engineering & Coding

Comparative analysis on LiveCodeBench and CFEval.

TNSA Logo
New massive-scale benchmarks released
Comparative analysis against industry-leading models

Vision & Multimodal Intelligence

NGen 4 and NGen 3.5 series compared with Gemini 2.5 Flash and GPT-5 Nano.

TNSA Logo
New massive-scale benchmarks released
Comparative analysis against industry-leading models

Text Performance Benchmarks

CategoryBenchmarkScoreIndustry Avg.
KnowledgeMMLU-Pro73.481.2
KnowledgeMMLU-Redux87.5-
ReasoningGPQA61.468.4
ReasoningAIME 2571.670.9
CodingLiveCodeBench55.657.4
AlignmentArena-Hard v220.436.3

Vision Performance Benchmarks

CategoryBenchmarkScoreIndustry Avg.
STEMMMMU (Val)73.474.1
MathMathVista79.781.4
OCRDocVQA90.395.3
VideoMVBench74.969
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