Which is better for coding — DeepSeek-V3.2 (Thinking) or GLM-4.7-Flash?

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-4.7-Flash?

GLM-4.7-Flash is cheaper for input: $0.07 per 1M tokens vs $0.28.

Which has a larger context window — DeepSeek-V3.2 (Thinking) or GLM-4.7-Flash?

DeepSeek-V3.2 (Thinking) supports a larger context: 131,072 tokens vs 128,000.

DeepSeek-V3.2 (Thinking) vs GLM-4.7-Flash: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking)

DeepSeek

GLM-4.7-Flash

Zhipu AI

Characteristic	DeepSeek-V3.2 (Thinking)	GLM-4.7-Flash
Company	DeepSeek	Zhipu AI
Release Date	November 30, 2025	January 18, 2026
Parameters	685B	30B
Multimodal	No	No
Context (input)	131K	128K
Context (output)	66K	16K
Input Price / 1M	$0.28	$0.07
Output Price / 1M	$0.42	$0.40
Average Score	0.9	0.6
Benchmarks
GPQA	0.8	0.8
AIME 2025	0.9	0.9

Visual Benchmark Comparison

DeepSeek-V3.2 (Thinking)

GLM-4.7-Flash

GPQA0.8 vs 0.8

0.8

AIME 20250.9 vs 0.9

0.9

Verdict

GLM-4.7-Flash leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, GLM-4.7-Flash — 0.6.

API Cost

GLM-4.7-Flash is 1.5x cheaper: input $0.07/1M vs $0.28/1M tokens.

Context Window

DeepSeek-V3.2 (Thinking) supports a larger context: 131K vs 128K tokens.

Recency

GLM-4.7-Flash is newer: released 1/18/2026 vs 11/30/2025.

More About These Models

DeepSeek-V3.2 (Thinking)

DeepSeek — specs, benchmarks, API

GLM-4.7-Flash

Zhipu AI — specs, benchmarks, API

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The DeepSeek-V3.2 (Thinking) and GLM-4.7-Flash 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-4.7-Flash page. See also the complete list of AI model comparisons.