Model Comparison

DeepSeek-V3.1 vs GLM-4.5-AirWhich is better in 2026?

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

Verdict: DeepSeek-V3.1 vs GLM-4.5-Air — which is better?

DeepSeek-V3.1 (by DeepSeek) and GLM-4.5-Air (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V3.1 outperforms in 5 benchmarks (BrowseComp, Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified, Terminal-Bench), while GLM-4.5-Air is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench). DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

Choose DeepSeek-V3.1 if…

  • you want the strongest raw capability — it leads on 5 of 8 shared benchmarks

Choose GLM-4.5-Air if…

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

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

DeepSeek-V3.1 outperforms in 5 benchmarks (BrowseComp, Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified, Terminal-Bench), while GLM-4.5-Air is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

565.0B diff

DeepSeek-V3.1 has 565.0B more parameters than GLM-4.5-Air, making it 533.0% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
671.0B
DeepSeek-V3.1
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.1

MIT

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 7 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.5 years ago

GLM-4.5-Air

Jul 28, 2025

11 months ago

6mo 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→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher BrowseComp score (30.0% vs 21.3%)
Higher Humanity's Last Exam score (15.9% vs 10.6%)
Higher MMLU-Pro score (83.7% vs 81.4%)
Higher SWE-Bench Verified score (66.0% vs 57.6%)
Higher Terminal-Bench score (31.3% vs 30.0%)
Zhipu AI
Higher AIME 2024 score (89.4% vs 66.3%)
Higher GPQA score (75.0% vs 74.9%)
Higher LiveCodeBench score (70.7% vs 56.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and GLM-4.5-Air side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
GLM-4.5-Air
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Zhipu AI
GLM-4.5-Air

FAQ

Common questions about DeepSeek-V3.1 vs GLM-4.5-Air.

Which is better, DeepSeek-V3.1 or GLM-4.5-Air?

DeepSeek-V3.1 shows notably better performance in the majority of benchmarks. DeepSeek-V3.1 is made by DeepSeek and GLM-4.5-Air is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to GLM-4.5-Air in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. 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-V3.1 and GLM-4.5-Air?

DeepSeek-V3.1 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.

Who makes DeepSeek-V3.1 and GLM-4.5-Air?

DeepSeek-V3.1 is developed by DeepSeek and GLM-4.5-Air is developed by Zhipu AI.

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