Mistral Large (Feb '24) vs Jamba 1.6 Large: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Large (Feb '24) vs Jamba 1.6 Large Showdown

After a comprehensive analysis, Jamba 1.6 Large 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 1.6 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.

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 1.6 Large

Other

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 40.521tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Large (Feb '24) vs Jamba 1.6 Large matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Large (Feb '24) vs Jamba 1.6 Large analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Large (Feb '24)` vs `Jamba 1.6 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 Mistral Large (Feb '24) vs Jamba 1.6 Large debate, Mistral Large (Feb '24) scores 60 against Jamba 1.6 Large's 60. This data-driven approach is essential for any serious Mistral Large (Feb '24) vs Jamba 1.6 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 Mistral Large (Feb '24) vs Jamba 1.6 Large 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 1.6 Large300ms

Tokens per Second

Mistral Large (Feb '24)61

Jamba 1.6 Large40.521

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The Economics of Mistral Large (Feb '24) vs Jamba 1.6 Large

Power is only one part of the equation. This Mistral Large (Feb '24) vs Jamba 1.6 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, Mistral Large (Feb '24) would cost $0.007, whereas Jamba 1.6 Large would cost $0.004. This practical calculation is vital for any developer considering the Mistral Large (Feb '24) vs Jamba 1.6 Large choice.

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Which Model Wins the Mistral Large (Feb '24) vs Jamba 1.6 Large Battle for You?

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

Cost is a secondary concern to power in your Mistral Large (Feb '24) vs Jamba 1.6 Large decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.6 Large 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 1.6 Large 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 1.6 Large Comparison

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Data source: https://artificialanalysis.ai/