The AI arena is free today

Open Superagent

DeepSeek-V3 0324 vs GLM-4.5-Air

GLM-4.5-Air leads the LLM Stats Score 24.4 to 13.4.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.4 to 13.4, ranking #163 overall.

In the 5 individual benchmarks reported for both models, GLM-4.5-Air wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek-V3 0324

  • you want predictable pricing at $0.24/M input and $0.90/M output

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.4 and ranks #163 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

DeepSeek-V3 0324
DeepSeek
GLM-4.5-Air
Zhipu AI
Core performance indexes
LLM Stats Score
13.4
#244
24.4
#163
Reasoning
13.6
#234
23.8
#161
Coding
4.0
#212
11.4
#155
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
GLM-4.5-Air
Math
15.8#212
22.5#136
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 14 for GLM-4.5-Air

5 shared

DeepSeek-V3 0324 outperforms in 0 benchmarks, while GLM-4.5-Air is better at 5 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500, MMLU-Pro).

GLM-4.5-Air significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

565.0B diff

DeepSeek-V3 0324 has 565.0B more parameters than GLM-4.5-Air, making it 533.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
671.0B
DeepSeek-V3 0324
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while GLM-4.5-Air uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 4 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

4mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and GLM-4.5-Air side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
GLM-4.5-Air
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs GLM-4.5-Air.

Which is better, DeepSeek-V3 0324 or GLM-4.5-Air?

GLM-4.5-Air leads the LLM Stats Score 24.4 to 13.4. DeepSeek-V3 0324 is made by DeepSeek and GLM-4.5-Air 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 0324 compare to GLM-4.5-Air in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for DeepSeek-V3 0324 and GLM-4.5-Air?

DeepSeek-V3 0324 supports 164K tokens and GLM-4.5-Air supports an unknown number of 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 0324 and GLM-4.5-Air?

Key differences include LLM Stats Score (13.4 vs 24.4), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and GLM-4.5-Air?

DeepSeek-V3 0324 is developed by DeepSeek and GLM-4.5-Air is developed by Zhipu AI.

Related comparisons