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DeepSeek VL2 vs GLM-5.3

Comparing DeepSeek VL2 and GLM-5.3 across benchmarks, pricing, and capabilities.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek VL2 and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek VL2

  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$1.40 / M
Output price
— / M
$4.40 / M
Context window
129,280
1,000,000
Released
Dec 2024
Aug 2026
License
deepseek
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

726.0B diff

GLM-5.3 has 726.0B more parameters than DeepSeek VL2, making it 2688.9% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
27.0B
DeepSeek VL2
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while GLM-5.3 is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas GLM-5.3 does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 20 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.7yr 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 VL2 is available from Replicate. GLM-5.3 is available from ZAI.

DeepSeek VL2

replicate logo
Replicate

GLM-5.3

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 VL2 and GLM-5.3 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs GLM-5.3.

Which is better, DeepSeek VL2 or GLM-5.3?

DeepSeek VL2 (DeepSeek) and GLM-5.3 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to GLM-5.3 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

What are the context window sizes for DeepSeek VL2 and GLM-5.3?

DeepSeek VL2 supports 129K 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 VL2 and GLM-5.3?

Key differences include context window (129K vs 1.0M), multimodal support (yes vs no), licensing (deepseek vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and GLM-5.3?

DeepSeek VL2 is developed by DeepSeek and GLM-5.3 is developed by Zhipu AI.