Mistral Large (Feb '24) vs Jamba 1.5 Mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Large (Feb '24) vs Jamba 1.5 Mini Showdown

After a comprehensive analysis, Jamba 1.5 Mini emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Large (Feb '24) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Large (Feb '24) vs Jamba 1.5 Mini 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.

Mistral Large (Feb '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.006
P95 Latency: 1000ms
Tokens per second: —

Jamba 1.5 Mini

Other

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Mistral Large (Feb '24) vs Jamba 1.5 Mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Large (Feb '24) vs Jamba 1.5 Mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Large (Feb '24)` vs `Jamba 1.5 Mini`.

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 Mistral Large (Feb '24) vs Jamba 1.5 Mini debate, Mistral Large (Feb '24) scores 60 against Jamba 1.5 Mini's 60. This data-driven approach is essential for any serious Mistral Large (Feb '24) vs Jamba 1.5 Mini comparison.

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

Speed & Latency

Speed is a crucial factor in the Mistral Large (Feb '24) vs Jamba 1.5 Mini decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Large (Feb '24)300ms

Jamba 1.5 Mini300ms

Tokens per Second

Mistral Large (Feb '24)61

Jamba 1.5 Mini46

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The Economics of Mistral Large (Feb '24) vs Jamba 1.5 Mini

Power is only one part of the equation. This Mistral Large (Feb '24) vs Jamba 1.5 Mini 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, Mistral Large (Feb '24) would cost $0.007, whereas Jamba 1.5 Mini would cost $0.000. This practical calculation is vital for any developer considering the Mistral Large (Feb '24) vs Jamba 1.5 Mini choice.

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Which Model Wins the Mistral Large (Feb '24) vs Jamba 1.5 Mini Battle for You?

Choose Mistral Large (Feb '24) if...

Cost is a secondary concern to power in your Mistral Large (Feb '24) vs Jamba 1.5 Mini decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.5 Mini if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the Mistral Large (Feb '24) vs Jamba 1.5 Mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Large (Feb '24) vs Jamba 1.5 Mini Comparison

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Data source: https://artificialanalysis.ai/