DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3
DeepSeek-V4-Flash-Vision-Exp and GLM-5.3 are closely matched at 46.3 and 53.4 on the LLM Stats Score. DeepSeek-V4-Flash-Vision-Exp is 5.8x cheaper per token.
DeepSeek · Zhipu AI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and GLM-5.3 are closely matched on the overall LLM Stats Score at 46.3 and 53.4.
In the 4 individual benchmarks reported for both models, GLM-5.3 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 5.8x 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
- cost matters — it's about 5.8x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose GLM-5.3
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for DeepSeek-V4-Flash-Vision-Exp · 17 for GLM-5.3
DeepSeek-V4-Flash-Vision-Exp outperforms in 0 benchmarks, while GLM-5.3 is better at 4 benchmarks (Agents' Last Exam, AutomationBench, NL2Repo, Terminal-Bench 2.1).
GLM-5.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 5.5x cheaper than GLM-5.3 ($1.20/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 6.1x cheaper than GLM-5.3 ($4.00/1M tokens).
In conclusion, GLM-5.3 is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4-Flash-Vision-Exp is limited to 393,216 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas GLM-5.3 does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
GLM-5.3
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GLM-5.3 was released on 2026-08-14.
DeepSeek-V4-Flash-Vision-Exp is 0 month newer than GLM-5.3.
Aug 21, 2026
2 weeks ago
1w newerAug 14, 2026
3 weeks ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra. GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI.
DeepSeek-V4-Flash-Vision-Exp
GLM-5.3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and GLM-5.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3.