Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large Showdown

After a comprehensive analysis, Jamba 1.5 Large emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama 3.2 Instruct 90B (Vision) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 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.

Llama 3.2 Instruct 90B (Vision)

Overall Capabilities

The capability radar provides a holistic view of the Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Llama 3.2 Instruct 90B (Vision)` vs `Jamba 1.5 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 Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large debate, Llama 3.2 Instruct 90B (Vision) scores 60 against Jamba 1.5 Large's 60. This data-driven approach is essential for any serious Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 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 Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Llama 3.2 Instruct 90B (Vision)300ms

Jamba 1.5 Large300ms

Tokens per Second

Llama 3.2 Instruct 90B (Vision)35.236

Jamba 1.5 Large29

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The Economics of Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large

Power is only one part of the equation. This Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 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, Llama 3.2 Instruct 90B (Vision) would cost $0.001, whereas Jamba 1.5 Large would cost $0.004. This practical calculation is vital for any developer considering the Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large choice.

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Which Model Wins the Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large Battle for You?

Choose Llama 3.2 Instruct 90B (Vision) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.5 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 Llama 3.2 Instruct 90B (Vision) vs Jamba 1.5 Large Comparison

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Data source: https://artificialanalysis.ai/