GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) Showdown

After a comprehensive analysis, GLM-4.7 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemini 2.0 Pro Experimental (Feb '25) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '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.

GLM-4.7 (Reasoning)

Other

Reasoning: 10
Coding: 4
Multimodal: 4
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 168.501tokens/sec

Gemini 2.0 Pro Experimental (Feb '25)

Google

Reasoning: 6
Coding: 3
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GLM-4.7 (Reasoning)` vs `Gemini 2.0 Pro Experimental (Feb '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 GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) debate, GLM-4.7 (Reasoning) scores 100 against Gemini 2.0 Pro Experimental (Feb '25)'s 60. This data-driven approach is essential for any serious GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '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 GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GLM-4.7 (Reasoning)300ms

Gemini 2.0 Pro Experimental (Feb '25)300ms

Tokens per Second

GLM-4.7 (Reasoning)168.501

Gemini 2.0 Pro Experimental (Feb '25)35

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The Economics of GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25)

Power is only one part of the equation. This GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '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, GLM-4.7 (Reasoning) would cost $0.001, whereas Gemini 2.0 Pro Experimental (Feb '25) would cost $0.018. This practical calculation is vital for any developer considering the GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) choice.

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Which Model Wins the GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) Battle for You?

Choose GLM-4.7 (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 2.0 Pro Experimental (Feb '25) 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 GLM-4.7 (Reasoning) vs Gemini 2.0 Pro Experimental (Feb '25) Comparison

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Data source: https://artificialanalysis.ai/