Which is better for coding — DeepSeek-V3.2 (Thinking) or GLM-5?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — DeepSeek-V3.2 (Thinking) or GLM-5?

GLM-5 is cheaper for input: $0.00 per 1M tokens vs $0.28.

Which has a larger context window — DeepSeek-V3.2 (Thinking) or GLM-5?

GLM-5 supports a larger context: 200,000 tokens vs 131,072.

DeepSeek-V3.2 (Thinking) vs GLM-5: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking)

DeepSeek

GLM-5

Zhipu AI

Characteristic	DeepSeek-V3.2 (Thinking)	GLM-5
Company	DeepSeek	Zhipu AI
Release Date	November 30, 2025	February 10, 2026
Parameters	685B	744B
Multimodal	No	No
Context (input)	131K	200K
Context (output)	66K	128K
Input Price / 1M	$0.28	—
Output Price / 1M	$0.42	$0.00
Average Score	0.9	0.7

Verdict

GLM-5 leads in 2 out of 3 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, GLM-5 — 0.7.

Context Window

GLM-5 supports a larger context: 200K vs 131K tokens.

Recency

GLM-5 is newer: released 2/10/2026 vs 11/30/2025.

More About These Models

DeepSeek-V3.2 (Thinking)

DeepSeek — specs, benchmarks, API

GLM-5

Zhipu AI — specs, benchmarks, API

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The DeepSeek-V3.2 (Thinking) and GLM-5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or GLM-5 page. See also the complete list of AI model comparisons.