Olmo 3.1 32B Think vs GLM-4.7 (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) Showdown

After a comprehensive analysis, GLM-4.7 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Olmo 3.1 32B Think remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Olmo 3.1 32B Think vs GLM-4.7 (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.

Olmo 3.1 32B Think

Other

Reasoning: 8
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 70.595tokens/sec

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: 116.946tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Olmo 3.1 32B Think` vs `GLM-4.7 (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 Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) debate, Olmo 3.1 32B Think scores 80 against GLM-4.7 (Reasoning)'s 100. This data-driven approach is essential for any serious Olmo 3.1 32B Think vs GLM-4.7 (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 Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Olmo 3.1 32B Think300ms

GLM-4.7 (Reasoning)300ms

Tokens per Second

Olmo 3.1 32B Think70.595

GLM-4.7 (Reasoning)116.946

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The Economics of Olmo 3.1 32B Think vs GLM-4.7 (Reasoning)

Power is only one part of the equation. This Olmo 3.1 32B Think vs GLM-4.7 (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, Olmo 3.1 32B Think would cost $0.018, whereas GLM-4.7 (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) choice.

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Which Model Wins the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) Battle for You?

Choose Olmo 3.1 32B Think if...

Your top priority is raw performance and capability.

Cost is a secondary concern to power in your Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Choose GLM-4.7 (Reasoning) if...

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

Your budget is a primary consideration in the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Olmo 3.1 32B Think vs GLM-4.7 (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/