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DeepSeek-V4.1-Flash vs GLM-4.5-Air

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 24.4.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 24.4, ranking #13 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 2; 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-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #13 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 want the most recent training data — it shipped Sep 2026

Choose GLM-4.5-Air

  • you are already invested in the Zhipu AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
GLM-4.5-Air
Zhipu AI
Core performance indexes
LLM Stats Score
51.8
#13
24.4
#163
Reasoning
48.9
#18
23.8
#162
Coding
44.2
#5
11.4
#156
Agents
41.1
#4
5.9
#142
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
GLM-4.5-Air
Math
35.2#43
22.5#136
Tool use
34.8#2
20.2#59
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 14 for GLM-4.5-Air

2 shared

DeepSeek-V4.1-Flash outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while GLM-4.5-Air is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

657.2B diff

DeepSeek-V4.1-Flash has 657.2B more parameters than GLM-4.5-Air, making it 620.0% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
763.2B
DeepSeek-V4.1-Flash
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas GLM-4.5-Air does not.

DeepSeek-V4.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

GLM-4.5-Air

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

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

DeepSeek-V4.1-Flash

MIT

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while GLM-4.5-Air was released on 2025-07-28.

DeepSeek-V4.1-Flash is 14 months newer than GLM-4.5-Air.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

1.1yr newer
GLM-4.5-Air

Jul 28, 2025

1.1 years ago

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-V4.1-Flash and GLM-4.5-Air side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
GLM-4.5-Air
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs GLM-4.5-Air.

Which is better, DeepSeek-V4.1-Flash or GLM-4.5-Air?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 24.4. DeepSeek-V4.1-Flash 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-V4.1-Flash compare to GLM-4.5-Air in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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-V4.1-Flash and GLM-4.5-Air?

DeepSeek-V4.1-Flash supports 1.0M 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-V4.1-Flash and GLM-4.5-Air?

Key differences include LLM Stats Score (51.8 vs 24.4), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and GLM-4.5-Air?

DeepSeek-V4.1-Flash is developed by DeepSeek and GLM-4.5-Air is developed by Zhipu AI.

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