o1 vs Mistral Large (Feb '24): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the o1 vs Mistral Large (Feb '24) Showdown

After a comprehensive analysis, Mistral Large (Feb '24) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, o1 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed o1 vs Mistral Large (Feb '24) 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.

OpenAI

Reasoning: 6
Coding: 2
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.026
P95 Latency: 1000ms
Tokens per second: 155.329tokens/sec

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: —

Overall Capabilities

The capability radar provides a holistic view of the o1 vs Mistral Large (Feb '24) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our o1 vs Mistral Large (Feb '24) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `o1` vs `Mistral Large (Feb '24)`.

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 o1 vs Mistral Large (Feb '24) debate, o1 scores 60 against Mistral Large (Feb '24)'s 60. This data-driven approach is essential for any serious o1 vs Mistral Large (Feb '24) comparison.

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

Speed & Latency

Speed is a crucial factor in the o1 vs Mistral Large (Feb '24) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

o1300ms

Mistral Large (Feb '24)300ms

Tokens per Second

o1155.329

Mistral Large (Feb '24)61

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The Economics of o1 vs Mistral Large (Feb '24)

Power is only one part of the equation. This o1 vs Mistral Large (Feb '24) 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, o1 would cost $0.030, whereas Mistral Large (Feb '24) would cost $0.007. This practical calculation is vital for any developer considering the o1 vs Mistral Large (Feb '24) choice.

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Which Model Wins the o1 vs Mistral Large (Feb '24) Battle for You?

Choose o1 if...

Cost is a secondary concern to power in your o1 vs Mistral Large (Feb '24) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

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

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

Your budget is a primary consideration in the o1 vs Mistral Large (Feb '24) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the o1 vs Mistral Large (Feb '24) Comparison

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Data source: https://artificialanalysis.ai/