Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) Showdown

After a comprehensive analysis, Mistral Small (Feb '24) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Exaone 4.0 1.2B (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Exaone 4.0 1.2B (Reasoning) vs Mistral Small (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.

Exaone 4.0 1.2B (Reasoning)

Other

Reasoning: 5
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Mistral Small (Feb '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 119.688tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Exaone 4.0 1.2B (Reasoning)` vs `Mistral Small (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 Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) debate, Exaone 4.0 1.2B (Reasoning) scores 50 against Mistral Small (Feb '24)'s 60. This data-driven approach is essential for any serious Exaone 4.0 1.2B (Reasoning) vs Mistral Small (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 Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Exaone 4.0 1.2B (Reasoning)300ms

Mistral Small (Feb '24)300ms

Tokens per Second

Exaone 4.0 1.2B (Reasoning)28

Mistral Small (Feb '24)119.688

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The Economics of Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24)

Power is only one part of the equation. This Exaone 4.0 1.2B (Reasoning) vs Mistral Small (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, Exaone 4.0 1.2B (Reasoning) would cost $0.018, whereas Mistral Small (Feb '24) would cost $0.002. This practical calculation is vital for any developer considering the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) choice.

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Which Model Wins the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) Battle for You?

Choose Exaone 4.0 1.2B (Reasoning) if...

Cost is a secondary concern to power in your Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

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

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

Your budget is a primary consideration in the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Exaone 4.0 1.2B (Reasoning) vs Mistral Small (Feb '24) Comparison

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Data source: https://artificialanalysis.ai/