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DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3-Flash

DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash are closely matched at 46.3 and 50.6 on the LLM Stats Score. GLM-5.3-Flash is 1.4x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 46.3 and 50.6.

The models split the 4 individual benchmarks reported for both models evenly.

On price, GLM-5.3-Flash is roughly 1.4x 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-V4-Flash-Vision-Exp

  • you want predictable pricing at $0.22/M input and $0.66/M output

Choose GLM-5.3-Flash

  • cost matters — it's about 1.4x cheaper per token
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
46.3
#24
50.6
#16
42.8
#42
49.4
#15
35.4
#27
34.9
#30
33.1
#23
37.5
#13
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.22 / M
$0.15 / M
Output price
$0.66 / M
$0.50 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
GLM-5.3-Flash
25.9#31
32.5#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 15 for GLM-5.3-Flash

4 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 2 benchmarks (Agents' Last Exam, NL2Repo), while GLM-5.3-Flash is better at 2 benchmarks (AutomationBench, Terminal-Bench 2.1).

Both models are evenly matched across the benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 1.5x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.3x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than GLM-5.3-Flash.*

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

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input tokens$0.22
Output tokens$0.66
Best providerDeepSeek
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. GLM-5.3-Flash can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4-Flash-Vision-Exp is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 0 month newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

2 weeks ago

GLM-5.3-Flash

Aug 26, 2026

2 weeks ago

5d 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-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.

DeepSeek-V4-Flash-Vision-Exp

deepseek logo
DeepSeek
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
* 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-V4-Flash-Vision-Exp and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3-Flash.

Which is better, DeepSeek-V4-Flash-Vision-Exp or GLM-5.3-Flash?

DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash are closely matched on the LLM Stats Score at 46.3 and 50.6. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and GLM-5.3-Flash 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-Flash-Vision-Exp compare to GLM-5.3-Flash in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

Is DeepSeek-V4-Flash-Vision-Exp cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 1.5x cheaper for input tokens. DeepSeek-V4-Flash-Vision-Exp costs $0.22/M input and $0.66/M output via deepseek. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and GLM-5.3-Flash supports 1.0M 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-Flash-Vision-Exp and GLM-5.3-Flash?

Key differences include LLM Stats Score (46.3 vs 50.6), input pricing ($0.22 vs $0.15/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and GLM-5.3-Flash is developed by Zhipu AI.