Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning): 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 DeepSeek V3.1 (Non-reasoning) Showdown

After a comprehensive analysis, DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) 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: —

DeepSeek V3.1 (Non-reasoning)

DeepSeek

Reasoning: 5
Coding: 3
Multimodal: 2
Long Context: 4
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Exaone 4.0 1.2B (Reasoning)` vs `DeepSeek V3.1 (Non-reasoning)`.

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 DeepSeek V3.1 (Non-reasoning) debate, Exaone 4.0 1.2B (Reasoning) scores 50 against DeepSeek V3.1 (Non-reasoning)'s 50. This data-driven approach is essential for any serious Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) 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

DeepSeek V3.1 (Non-reasoning)300ms

Tokens per Second

Exaone 4.0 1.2B (Reasoning)28

DeepSeek V3.1 (Non-reasoning)35

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The Economics of Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning)

Power is only one part of the equation. This Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning) choice.

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Which Model Wins the Exaone 4.0 1.2B (Reasoning) vs DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) 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 DeepSeek V3.1 (Non-reasoning) Comparison

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Data source: https://artificialanalysis.ai/