Mistral Large (Feb '24) vs OpenChat 3.5 (1210): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Large (Feb '24) vs OpenChat 3.5 (1210) Showdown

After a comprehensive analysis, OpenChat 3.5 (1210) 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 OpenChat 3.5 (1210) 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: —

OpenChat 3.5 (1210)

Other

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Mistral Large (Feb '24) vs OpenChat 3.5 (1210) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Large (Feb '24) vs OpenChat 3.5 (1210) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Large (Feb '24)` vs `OpenChat 3.5 (1210)`.

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 OpenChat 3.5 (1210) debate, Mistral Large (Feb '24) scores 60 against OpenChat 3.5 (1210)'s 60. This data-driven approach is essential for any serious Mistral Large (Feb '24) vs OpenChat 3.5 (1210) 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 OpenChat 3.5 (1210) 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

OpenChat 3.5 (1210)300ms

Tokens per Second

Mistral Large (Feb '24)61

OpenChat 3.5 (1210)41

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The Economics of Mistral Large (Feb '24) vs OpenChat 3.5 (1210)

Power is only one part of the equation. This Mistral Large (Feb '24) vs OpenChat 3.5 (1210) 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 OpenChat 3.5 (1210) would cost $0.018. This practical calculation is vital for any developer considering the Mistral Large (Feb '24) vs OpenChat 3.5 (1210) choice.

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Which Model Wins the Mistral Large (Feb '24) vs OpenChat 3.5 (1210) Battle for You?

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

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose OpenChat 3.5 (1210) 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 Mistral Large (Feb '24) vs OpenChat 3.5 (1210) Comparison

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Data source: https://artificialanalysis.ai/