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

DeepSeek-V4.1-Flash leads the LLM Stats Score 50.7 to 24.3.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 50.7 to 24.3, ranking #17 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 50.7 and ranks #17 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
50.7
#17
24.3
#179
Reasoning
48.5
#19
23.8
#178
Coding
41.5
#9
11.1
#171
Agents
38.6
#7
6.0
#157
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
34.8#47
22.5#142
Tool use
32.4#4
20.1#60
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.

Wed Oct 14 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
Wed Oct 14 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 months ago

1.1yr newer
GLM-4.5-Air

Jul 28, 2025

1.2 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?

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 50.7 to 24.3. 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 (50.7 vs 24.3), 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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