Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) Showdown

After a comprehensive analysis, Cogito v2.1 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama Nemotron Super 49B v1.5 (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) 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.

Llama Nemotron Super 49B v1.5 (Reasoning)

Other

Reasoning: 8
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 75.33tokens/sec

Cogito v2.1 (Reasoning)

Other

Reasoning: 7
Coding: 2
Multimodal: 5
Long Context: 8
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 73.701tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Llama Nemotron Super 49B v1.5 (Reasoning)` vs `Cogito v2.1 (Reasoning)`.

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 Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) debate, Llama Nemotron Super 49B v1.5 (Reasoning) scores 80 against Cogito v2.1 (Reasoning)'s 70. This data-driven approach is essential for any serious Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) comparison.

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

Speed & Latency

Speed is a crucial factor in the Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Llama Nemotron Super 49B v1.5 (Reasoning)300ms

Cogito v2.1 (Reasoning)300ms

Tokens per Second

Llama Nemotron Super 49B v1.5 (Reasoning)75.33

Cogito v2.1 (Reasoning)73.701

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The Economics of Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning)

Power is only one part of the equation. This Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) 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, Llama Nemotron Super 49B v1.5 (Reasoning) would cost $0.000, whereas Cogito v2.1 (Reasoning) would cost $0.002. This practical calculation is vital for any developer considering the Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) choice.

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Which Model Wins the Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) Battle for You?

Choose Llama Nemotron Super 49B v1.5 (Reasoning) if...

Your top priority is raw performance and capability.

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

You need the most advanced reasoning capabilities available.

Choose Cogito v2.1 (Reasoning) 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 Llama Nemotron Super 49B v1.5 (Reasoning) vs Cogito v2.1 (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/