Kimi K2 Thinking vs Magistral Small 1: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Kimi K2 Thinking vs Magistral Small 1 Showdown

After a comprehensive analysis, Kimi K2 Thinking emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Magistral Small 1 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Kimi K2 Thinking vs Magistral Small 1 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.

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: 97.929tokens/sec

Magistral Small 1

Mistral

Reasoning: 4
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 70.065tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Kimi K2 Thinking vs Magistral Small 1 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Kimi K2 Thinking vs Magistral Small 1 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Kimi K2 Thinking` vs `Magistral Small 1`.

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 Kimi K2 Thinking vs Magistral Small 1 debate, Kimi K2 Thinking scores 90 against Magistral Small 1's 40. This data-driven approach is essential for any serious Kimi K2 Thinking vs Magistral Small 1 comparison.

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

Speed & Latency

Speed is a crucial factor in the Kimi K2 Thinking vs Magistral Small 1 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Kimi K2 Thinking300ms

Magistral Small 1300ms

Tokens per Second

Kimi K2 Thinking97.929

Magistral Small 170.065

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The Economics of Kimi K2 Thinking vs Magistral Small 1

Power is only one part of the equation. This Kimi K2 Thinking vs Magistral Small 1 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, Kimi K2 Thinking would cost $0.001, whereas Magistral Small 1 would cost $0.001. This practical calculation is vital for any developer considering the Kimi K2 Thinking vs Magistral Small 1 choice.

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Which Model Wins the Kimi K2 Thinking vs Magistral Small 1 Battle for You?

Choose Kimi K2 Thinking if...

Your top priority is raw performance and capability.

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

Cost is a secondary concern to power in your Kimi K2 Thinking vs Magistral Small 1 decision.

Choose Magistral Small 1 if...

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

Your budget is a primary consideration in the Kimi K2 Thinking vs Magistral Small 1 choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Kimi K2 Thinking vs Magistral Small 1 Comparison

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Data source: https://artificialanalysis.ai/