Magistral Small 1.2 vs Kimi K2 Thinking: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Magistral Small 1.2 vs Kimi K2 Thinking Showdown

After a comprehensive analysis, Kimi K2 Thinking emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Magistral Small 1.2 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Magistral Small 1.2 vs Kimi K2 Thinking 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.

Magistral Small 1.2

Mistral

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 182.755tokens/sec

Kimi K2 Thinking

Other

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 95.027tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Magistral Small 1.2 vs Kimi K2 Thinking matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Magistral Small 1.2 vs Kimi K2 Thinking analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Magistral Small 1.2` vs `Kimi K2 Thinking`.

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 Magistral Small 1.2 vs Kimi K2 Thinking debate, Magistral Small 1.2 scores 80 against Kimi K2 Thinking's 90. This data-driven approach is essential for any serious Magistral Small 1.2 vs Kimi K2 Thinking comparison.

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

Speed & Latency

Speed is a crucial factor in the Magistral Small 1.2 vs Kimi K2 Thinking decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Magistral Small 1.2300ms

Kimi K2 Thinking300ms

Tokens per Second

Magistral Small 1.2182.755

Kimi K2 Thinking95.027

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The Economics of Magistral Small 1.2 vs Kimi K2 Thinking

Power is only one part of the equation. This Magistral Small 1.2 vs Kimi K2 Thinking 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, Magistral Small 1.2 would cost $0.001, whereas Kimi K2 Thinking would cost $0.001. This practical calculation is vital for any developer considering the Magistral Small 1.2 vs Kimi K2 Thinking choice.

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Which Model Wins the Magistral Small 1.2 vs Kimi K2 Thinking Battle for You?

Choose Magistral Small 1.2 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 Kimi K2 Thinking 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 Magistral Small 1.2 vs Kimi K2 Thinking Comparison

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Data source: https://artificialanalysis.ai/