K-EXAONE (Reasoning) vs Gemini 1.0 Pro: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the K-EXAONE (Reasoning) vs Gemini 1.0 Pro Showdown

After a comprehensive analysis, K-EXAONE (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemini 1.0 Pro remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed K-EXAONE (Reasoning) vs Gemini 1.0 Pro 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.

K-EXAONE (Reasoning)

Other

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 124.133tokens/sec

Gemini 1.0 Pro

Google

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 K-EXAONE (Reasoning) vs Gemini 1.0 Pro matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our K-EXAONE (Reasoning) vs Gemini 1.0 Pro analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `K-EXAONE (Reasoning)` vs `Gemini 1.0 Pro`.

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 K-EXAONE (Reasoning) vs Gemini 1.0 Pro debate, K-EXAONE (Reasoning) scores 90 against Gemini 1.0 Pro's 60. This data-driven approach is essential for any serious K-EXAONE (Reasoning) vs Gemini 1.0 Pro comparison.

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

Speed & Latency

Speed is a crucial factor in the K-EXAONE (Reasoning) vs Gemini 1.0 Pro decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

K-EXAONE (Reasoning)300ms

Gemini 1.0 Pro300ms

Tokens per Second

K-EXAONE (Reasoning)124.133

Gemini 1.0 Pro46

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The Economics of K-EXAONE (Reasoning) vs Gemini 1.0 Pro

Power is only one part of the equation. This K-EXAONE (Reasoning) vs Gemini 1.0 Pro 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, K-EXAONE (Reasoning) would cost $0.018, whereas Gemini 1.0 Pro would cost $0.018. This practical calculation is vital for any developer considering the K-EXAONE (Reasoning) vs Gemini 1.0 Pro choice.

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Which Model Wins the K-EXAONE (Reasoning) vs Gemini 1.0 Pro Battle for You?

Choose K-EXAONE (Reasoning) if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Choose Gemini 1.0 Pro 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 K-EXAONE (Reasoning) vs Gemini 1.0 Pro Comparison

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Data source: https://artificialanalysis.ai/