DeepSeek-V4-Flash-Vision-Exp vs GLM-5.2
DeepSeek-V4-Flash-Vision-Exp and GLM-5.2 are closely matched at 46.3 and 45.6 on the LLM Stats Score. DeepSeek-V4-Flash-Vision-Exp is 3.5x cheaper per token.
DeepSeek · Zhipu AI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and GLM-5.2 are closely matched on the overall LLM Stats Score at 46.3 and 45.6.
In the 3 individual benchmarks reported for both models, DeepSeek-V4-Flash-Vision-Exp wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 3.5x 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 value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 3.5x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose GLM-5.2
- 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 · 19 for GLM-5.2
DeepSeek-V4-Flash-Vision-Exp outperforms in 3 benchmarks (DeepSWE, NL2Repo, Terminal-Bench 2.1), while GLM-5.2 is better at 0 benchmarks.
DeepSeek-V4-Flash-Vision-Exp 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 3.4x cheaper than GLM-5.2 ($0.75/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 3.6x cheaper than GLM-5.2 ($2.40/1M tokens).
In conclusion, GLM-5.2 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-5.2 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-5.2 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-5.2
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GLM-5.2 was released on 2026-06-16.
DeepSeek-V4-Flash-Vision-Exp is 2 months newer than GLM-5.2.
Aug 21, 2026
2 weeks ago
2mo newerJun 16, 2026
2 months 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-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
DeepSeek-V4-Flash-Vision-Exp
GLM-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and GLM-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs GLM-5.2.