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DeepSeek-V3 vs GLM-4.5V

Comparing DeepSeek-V3 and GLM-4.5V across benchmarks, pricing, and capabilities.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V3 and GLM-4.5V trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, DeepSeek-V3 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V3

  • cost matters — it's about 2.0x cheaper per token

Choose GLM-4.5V

  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
GLM-4.5V
Zhipu AI
Benchmark wins
—
—
Input price
$0.27 / M
$0.55 / M
Output price
$1.10 / M
$2.19 / M
Context window
131,072
131,072

Individual benchmarks

20 reported for DeepSeek-V3 · 0 for GLM-4.5V

No common benchmarks found

DeepSeek-V3 and GLM-4.5Vdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.0x cheaper than GLM-4.5V ($0.55/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.0x cheaper than GLM-4.5V ($2.19/1M tokens).

In conclusion, GLM-4.5V is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

563.0B diff

DeepSeek-V3 has 563.0B more parameters than GLM-4.5V, making it 521.3% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
671.0B
DeepSeek-V3
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.5V supports multimodal inputs, whereas DeepSeek-V3 does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while GLM-4.5V uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 8 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

GLM-4.5V

Aug 11, 2025

1.1 years ago

7mo 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 is available from DeepSeek. GLM-4.5V is available from Fireworks, Novita.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* 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 and GLM-4.5V side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
GLM-4.5V
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs GLM-4.5V.

Which is better, DeepSeek-V3 or GLM-4.5V?

DeepSeek-V3 (DeepSeek) and GLM-4.5V (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-V3 compare to GLM-4.5V in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is DeepSeek-V3 cheaper than GLM-4.5V?

DeepSeek-V3 is 2.0x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.

What are the context window sizes for DeepSeek-V3 and GLM-4.5V?

DeepSeek-V3 supports 131K tokens and GLM-4.5V supports 131K 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 and GLM-4.5V?

Key differences include input pricing ($0.27 vs $0.55/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and GLM-4.5V?

DeepSeek-V3 is developed by DeepSeek and GLM-4.5V is developed by Zhipu AI.

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