GLM-4.7 (Reasoning) vs Mistral Medium: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GLM-4.7 (Reasoning) vs Mistral Medium Showdown

After a comprehensive analysis, GLM-4.7 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Medium remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GLM-4.7 (Reasoning) vs Mistral Medium 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: 133.837tokens/sec

Mistral Medium

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 94.005tokens/sec

Overall Capabilities

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

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GLM-4.7 (Reasoning)` vs `Mistral Medium`.

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 Mistral Medium debate, GLM-4.7 (Reasoning) scores 100 against Mistral Medium's 60. This data-driven approach is essential for any serious GLM-4.7 (Reasoning) vs Mistral Medium 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 Mistral Medium 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

Mistral Medium300ms

Tokens per Second

GLM-4.7 (Reasoning)133.837

Mistral Medium94.005

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The Economics of GLM-4.7 (Reasoning) vs Mistral Medium

Power is only one part of the equation. This GLM-4.7 (Reasoning) vs Mistral Medium 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 Mistral Medium would cost $0.005. This practical calculation is vital for any developer considering the GLM-4.7 (Reasoning) vs Mistral Medium choice.

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Which Model Wins the GLM-4.7 (Reasoning) vs Mistral Medium 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 Mistral Medium 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 Mistral Medium Comparison

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Data source: https://artificialanalysis.ai/