EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning Showdown

After a comprehensive analysis, Motif-2-12.7B-Reasoning emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, EXAONE 4.0 32B (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-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 32B (Reasoning)

Other

Reasoning: 8
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 95.653tokens/sec

Motif-2-12.7B-Reasoning

Other

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `EXAONE 4.0 32B (Reasoning)` vs `Motif-2-12.7B-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 32B (Reasoning) vs Motif-2-12.7B-Reasoning debate, EXAONE 4.0 32B (Reasoning) scores 80 against Motif-2-12.7B-Reasoning's 80. This data-driven approach is essential for any serious EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-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 32B (Reasoning) vs Motif-2-12.7B-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 32B (Reasoning)300ms

Motif-2-12.7B-Reasoning300ms

Tokens per Second

EXAONE 4.0 32B (Reasoning)95.653

Motif-2-12.7B-Reasoning60

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The Economics of EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning

Power is only one part of the equation. This EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-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 32B (Reasoning) would cost $0.001, whereas Motif-2-12.7B-Reasoning would cost $0.018. This practical calculation is vital for any developer considering the EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning choice.

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Which Model Wins the EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning Battle for You?

Choose EXAONE 4.0 32B (Reasoning) if...

Your top priority is raw performance and capability.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Motif-2-12.7B-Reasoning 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 EXAONE 4.0 32B (Reasoning) vs Motif-2-12.7B-Reasoning Comparison

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Data source: https://artificialanalysis.ai/