LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) Showdown

After a comprehensive analysis, LFM2.5-1.2B-Thinking emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Devstral Small (Jul '25) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) 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.

LFM2.5-1.2B-Thinking

Other

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Devstral Small (Jul '25)

Mistral

Reasoning: 3
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 226.29tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `LFM2.5-1.2B-Thinking` vs `Devstral Small (Jul '25)`.

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 LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) debate, LFM2.5-1.2B-Thinking scores 60 against Devstral Small (Jul '25)'s 30. This data-driven approach is essential for any serious LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) comparison.

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

Speed & Latency

Speed is a crucial factor in the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

LFM2.5-1.2B-Thinking300ms

Devstral Small (Jul '25)300ms

Tokens per Second

LFM2.5-1.2B-Thinking55

Devstral Small (Jul '25)226.29

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The Economics of LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25)

Power is only one part of the equation. This LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) 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, LFM2.5-1.2B-Thinking would cost $0.018, whereas Devstral Small (Jul '25) would cost $0.000. This practical calculation is vital for any developer considering the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) choice.

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Which Model Wins the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) Battle for You?

Choose LFM2.5-1.2B-Thinking if...

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

Cost is a secondary concern to power in your LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) decision.

You need the most advanced reasoning capabilities available.

Choose Devstral Small (Jul '25) if...

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

Your budget is a primary consideration in the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the LFM2.5-1.2B-Thinking vs Devstral Small (Jul '25) Comparison

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Data source: https://artificialanalysis.ai/