API cost decision in 10 seconds
🔥DeepSeek V4.1 Flash vs 🔥GLM 5.3 Flash
Pick GLM 5.3 Flash when budget is the priority.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GLM 5.3 Flash when budget is the priority.
On the standard 1M input plus 500K output workload, GLM 5.3 Flash is estimated at $0.07 vs $0.29 for DeepSeek V4.1 Flash, saving $0.22 (74.7% lower).
Cost-first pickGLM 5.3 Flash
Context-first pickTie
Sample savings$0.2274.7%
10x traffic gap$2.2
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $2.2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GLM 5.3 Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4.1 Flash | GLM 5.3 Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 5.3 Flash | $0.47 | $0.19 |
| Balanced workload | 1M input + 1M output | GLM 5.3 Flash | $0.55 | $0.12 |
| Output-heavy chatbot | 1M input + 5M output | GLM 5.3 Flash | $2.54 | $0.49 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GLM 5.3 Flash has the lower input price, GLM 5.3 Flash has the lower output price, and Tie offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.29 for DeepSeek V4.1 Flash and $0.07 for GLM 5.3 Flash.
Choose DeepSeek V4.1 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose GLM 5.3 Flash when you care most about lower input-token price, and lower output-token price.
| Feature | 🔥DeepSeek V4.1 Flash (DeepSeek) | 🔥GLM 5.3 Flash (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.04 | $0.03 |
| Completion Price per 1M tokens | $0.5 | $0.09 |
| Sample Workload Cost 1M input + 500K output | $0.29 | $0.07 |
| Context Window | 1.05M | 1.05M |
| Release Date | 2026-09-10 | 2026-08-26 |
| Popularity | #4 | #3 |
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 5.3 Flash | On the standard 1M input plus 500K output workload, GLM 5.3 Flash is estimated at $0.07 vs $0.29 for DeepSeek V4.1 Flash, saving $0.22 (74.7% lower). |
| High-volume input processing | GLM 5.3 Flash | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | GLM 5.3 Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages and source files. |