GLM-5.2 vs GPT-5.2

Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.

GLM-5.2 by Mistral wins on 7 of 8 benchmarks against GPT-5.2 by OpenAI, which leads on 1. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.

Category-by-Category Breakdown

Coding: In coding, GLM-5.2 scores 1292 on Design Arena ELO compared to GPT-5.2's 1173, while GLM-5.2 scores 1305 on Website Arena ELO compared to GPT-5.2's 1167.

Reasoning: In reasoning, GPT-5.2 scores 87.9% on GPQA Diamond compared to GLM-5.2's 85.6%, while GLM-5.2 scores 74.9% on τ²-Bench Airline compared to GPT-5.2's 73.3%.

Context: In context, GLM-5.2 scores 1.0M on Context Length compared to GPT-5.2's 400K.

Pricing Comparison

GLM-5.2 costs $0.68/1M input tokens and $2.1/1M output tokens, while GPT-5.2 costs $1.8/1M input and $14.0/1M output. GLM-5.2 is the more affordable option for API usage.

Verdict

GLM-5.2 leads across the board in affordability, making it the stronger overall choice in this comparison.

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GLM-5.2 vs GPT-5.2 — FAQ

Which is better, GLM-5.2 or GPT-5.2?

GLM-5.2 wins on more benchmarks overall (7 vs 1). However, the best choice depends on your specific needs — each model excels in different areas.

How does GLM-5.2 compare to GPT-5.2 for coding?

SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.

Is GLM-5.2 cheaper than GPT-5.2?

Yes, GLM-5.2 is cheaper. GLM-5.2 costs $0.68/1M input and $2.1/1M output tokens. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens.

Which is faster, GLM-5.2 or GPT-5.2?

Output speed data is not available for both models. Check the speed section of the comparison above for available performance data.

What benchmarks does the GLM-5.2 vs GPT-5.2 comparison cover?

This comparison covers 8 benchmarks including GPQA Diamond, Input Cost, Output Cost, Context Length, Cached Input Cost, Design Arena ELO, τ²-Bench Airline, Website Arena ELO. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.