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DeepSeek-V3.2 vs GLM-5.3

GLM-5.3 leads the LLM Stats Score 54.2 to 33.5. DeepSeek-V3.2 is 7.4x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 54.2 to 33.5, ranking #6 overall.

In the 2 individual benchmarks reported for both models, GLM-5.3 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3.2 is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3.2

  • cost matters — it's about 7.4x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • overall performance matters — it scores 54.2 and ranks #6 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek-V3.2
DeepSeek
GLM-5.3
Zhipu AI
Core performance indexes
LLM Stats Score
33.5
#86
54.2
#6
Reasoning
33.6
#83
53.4
#5
Coding
23.3
#67
45.4
#6
Agents
12.7
#90
41.2
#5
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.26 / M
$1.40 / M
Output price
$0.38 / M
$4.40 / M
Context window
163,840
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2
GLM-5.3
Tool use
10.6#114
35.4#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for DeepSeek-V3.2 · 16 for GLM-5.3

2 shared

DeepSeek-V3.2 outperforms in 0 benchmarks, while GLM-5.3 is better at 2 benchmarks (Humanity's Last Exam, Toolathlon).

GLM-5.3 significantly outperforms across most benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 costs less

For input processing, DeepSeek-V3.2 ($0.26/1M tokens) is 5.4x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, DeepSeek-V3.2 ($0.38/1M tokens) is 11.6x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than DeepSeek-V3.2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Aug 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2
Input tokens$0.26
Output tokens$0.38
Best providerDeepinfra
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

68.0B diff

GLM-5.3 has 68.0B more parameters than DeepSeek-V3.2, making it 9.9% larger.

DeepSeek
DeepSeek-V3.2
685.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
685.0B
DeepSeek-V3.2
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,048,576 input tokens compared to DeepSeek-V3.2's 163,840 tokens. DeepSeek-V3.2 can generate longer responses up to 163,840 tokens, while GLM-5.3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output131,072 tokens
Sun Aug 30 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek-V3.2 was released on 2025-12-01, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 9 months newer than DeepSeek-V3.2.

DeepSeek-V3.2

Dec 1, 2025

9 months ago

GLM-5.3

Aug 14, 2026

2 weeks ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3.2 is available from DeepInfra, Novita, Fireworks. GLM-5.3 is available from Novita, ZAI.

DeepSeek-V3.2

deepinfra logo
Deepinfra
Input Price:Input: $0.26/1MOutput Price:Output: $0.38/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.56/1MOutput Price:Output: $1.68/1M

GLM-5.3

novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.2 and GLM-5.3 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about DeepSeek-V3.2 vs GLM-5.3.

Which is better, DeepSeek-V3.2 or GLM-5.3?

GLM-5.3 leads the LLM Stats Score 54.2 to 33.5. DeepSeek-V3.2 is made by DeepSeek and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.2 compare to GLM-5.3 in benchmarks?

DeepSeek-V3.2 scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is DeepSeek-V3.2 cheaper than GLM-5.3?

DeepSeek-V3.2 is 5.4x cheaper for input tokens. DeepSeek-V3.2 costs $0.26/M input and $0.38/M output via deepinfra. GLM-5.3 costs $1.40/M input and $4.40/M output via novita.

What are the context window sizes for DeepSeek-V3.2 and GLM-5.3?

DeepSeek-V3.2 supports 164K tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2 and GLM-5.3?

Key differences include LLM Stats Score (33.5 vs 54.2), context window (164K vs 1.0M), input pricing ($0.26 vs $1.40/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 and GLM-5.3?

DeepSeek-V3.2 is developed by DeepSeek and GLM-5.3 is developed by Zhipu AI.

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