DeepSeek-V4.1-Flash vs GLM-5.3-Flash
deepseek-v4-1-flashglm-5.3-flashDeepSeek-V4.1-Flash costs $0.209351 per 1M input tokens and $0.837404 per 1M output tokens, with a 1M-token context window; GLM-5.3-Flash costs $0.104676 per 1M input tokens and $0.348919 per 1M output tokens, with a 1M-token context window.
Side by side
Prices in US dollars; limits and capabilities as published by each model’s provider.
| Spec | DeepSeek-V4.1-Flash | GLM-5.3-Flash |
|---|---|---|
| Input/ 1M tokens | $0.209351 | $0.104676 |
| Output/ 1M tokens | $0.837404 | $0.348919 |
| Cache read/ 1M tokens | $0.004187 | $0.020935 |
| Cache write/ 1M tokens | $0 | $0 |
| Discount | 30% off | 30% off |
| Contexttokens | 1M | 1M |
| Max outputtokens | 384K | 128K |
| Input types | text, image | text, image, video, file |
| Output types | text | text |
| Released | 2026-09-10 | 2026-08-26 |
| Tokens, last 7 daystokens | 82M | 75M |
| Endpoints | // | // |
Same workload
One workload of 1,000,000 input and 200,000 output tokens, priced at each model’s current rates.
- DeepSeek-V4.1-Flash
- $0.3768$0.2094 input + $0.1675 output
- GLM-5.3-Flash
- $0.1745$0.1047 input + $0.0698 output
For this workload, GLM-5.3-Flash costs $0.2024 less than DeepSeek-V4.1-Flash.
Same code
Only the model field changes.
curl https://api.cheapaimodel.ai/v1/chat/completions \
-H "Authorization: Bearer $CHEAPAIMODEL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-1-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'When to choose which
Differences in the published specs, then each provider’s own description.
- GLM-5.3-Flash has the lower input price ($0.104676 vs $0.209351 per 1M tokens).
- GLM-5.3-Flash has the lower output price ($0.348919 vs $0.837404 per 1M tokens).
- GLM-5.3-Flash accepts video and file input; DeepSeek-V4.1-Flash doesn’t.
- DeepSeek-V4.1-Flash was released more recently (2026-09-10 vs 2026-08-26).
- DeepSeek-V4.1-Flash can return more output in one response (384K vs 128K tokens).
About DeepSeek-V4.1-Flash
The smallest model in DeepSeek's new architecture family, with native image understanding. It runs in thinking mode by default and also offers a non-thinking mode; DeepSeek reports it outperforms its earlier DeepSeek-V4-Pro flagship on benchmarks.
About GLM-5.3-Flash
The first natively multimodal model in Z.ai's GLM-5 series, taking text, image, video and file input. Z.ai positions it as stronger than GLM-5.2 at a much lower cost.