GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) Showdown

After a comprehensive analysis, GPT-3.5 Turbo (0613) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, GLM-4.6V (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) 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-4.6V (Reasoning)

Other

Reasoning: 9
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 74.022tokens/sec

GPT-3.5 Turbo (0613)

OpenAI

Reasoning: 6
Coding: 6
Multimodal: 5
Long Context: 8
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GLM-4.6V (Reasoning)` vs `GPT-3.5 Turbo (0613)`.

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-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) debate, GLM-4.6V (Reasoning) scores 90 against GPT-3.5 Turbo (0613)'s 60. This data-driven approach is essential for any serious GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) 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-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

GLM-4.6V (Reasoning)300ms

GPT-3.5 Turbo (0613)300ms

Tokens per Second

GLM-4.6V (Reasoning)74.022

GPT-3.5 Turbo (0613)36

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The Economics of GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613)

Power is only one part of the equation. This GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) 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-4.6V (Reasoning) would cost $0.001, whereas GPT-3.5 Turbo (0613) would cost $0.018. This practical calculation is vital for any developer considering the GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) choice.

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Which Model Wins the GLM-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) Battle for You?

Choose GLM-4.6V (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 GPT-3.5 Turbo (0613) 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-4.6V (Reasoning) vs GPT-3.5 Turbo (0613) Comparison

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Data source: https://artificialanalysis.ai/