Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) Showdown

After a comprehensive analysis, Gemini 2.5 Flash Preview (Sep '25) (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Granite 4.0 Micro remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (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.

Granite 4.0 Micro

Other

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

Gemini 2.5 Flash Preview (Sep '25) (Reasoning)

Google

Reasoning: 8
Coding: 2
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 295.309tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Granite 4.0 Micro` vs `Gemini 2.5 Flash Preview (Sep '25) (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 Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) debate, Granite 4.0 Micro scores 10 against Gemini 2.5 Flash Preview (Sep '25) (Reasoning)'s 80. This data-driven approach is essential for any serious Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (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 Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Granite 4.0 Micro300ms

Gemini 2.5 Flash Preview (Sep '25) (Reasoning)300ms

Tokens per Second

Granite 4.0 Micro30

Gemini 2.5 Flash Preview (Sep '25) (Reasoning)295.309

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The Economics of Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning)

Power is only one part of the equation. This Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (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, Granite 4.0 Micro would cost $0.018, whereas Gemini 2.5 Flash Preview (Sep '25) (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) choice.

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Which Model Wins the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) Battle for You?

Choose Granite 4.0 Micro if...

Cost is a secondary concern to power in your Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Gemini 2.5 Flash Preview (Sep '25) (Reasoning) if...

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

Your budget is a primary consideration in the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Granite 4.0 Micro vs Gemini 2.5 Flash Preview (Sep '25) (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/