NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large Showdown

After a comprehensive analysis, NVIDIA Nemotron Nano 9B V2 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Jamba 1.7 Large remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

NVIDIA Nemotron Nano 9B V2 (Reasoning)

Other

Reasoning: 7
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 104.376tokens/sec

Jamba 1.7 Large

Other

Reasoning: 1
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 39.552tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `NVIDIA Nemotron Nano 9B V2 (Reasoning)` vs `Jamba 1.7 Large`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large debate, NVIDIA Nemotron Nano 9B V2 (Reasoning) scores 70 against Jamba 1.7 Large's 10. This data-driven approach is essential for any serious NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

NVIDIA Nemotron Nano 9B V2 (Reasoning)300ms

Jamba 1.7 Large300ms

Tokens per Second

NVIDIA Nemotron Nano 9B V2 (Reasoning)104.376

Jamba 1.7 Large39.552

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The Economics of NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large

Power is only one part of the equation. This NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, NVIDIA Nemotron Nano 9B V2 (Reasoning) would cost $0.000, whereas Jamba 1.7 Large would cost $0.004. This practical calculation is vital for any developer considering the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large choice.

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Which Model Wins the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large Battle for You?

Choose NVIDIA Nemotron Nano 9B V2 (Reasoning) if...

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.7 Large if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the NVIDIA Nemotron Nano 9B V2 (Reasoning) vs Jamba 1.7 Large Comparison

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Data source: https://artificialanalysis.ai/