Mercury 2.5 Preview is $0.03 cheaper per 1M input tokens (46.7% lower; 1.88x difference).
API cost decision in 10 seconds
New🔥GLM 5.3 Flash vs NewMercury 2.5 Preview
Pick Mercury 2.5 Preview for lower cost; pick GLM 5.3 Flash only if the larger context window matters more.
Budget verdict
Pick Mercury 2.5 Preview for lower cost; pick GLM 5.3 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $0.2 for GLM 5.3 Flash, saving $0.09 (42.5% lower).
GLM 5.3 Flash has more context, but Mercury 2.5 Preview saves $0.09 on the standard workload. At 10x that traffic, the same price gap is about $0.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Mercury 2.5 Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 5.3 Flash | Mercury 2.5 Preview |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Mercury 2.5 Preview | $0.5 | $0.28 |
| Balanced workload | 1M input + 1M output | Mercury 2.5 Preview | $0.33 | $0.19 |
| Output-heavy chatbot | 1M input + 5M output | Mercury 2.5 Preview | $1.32 | $0.79 |
Mercury 2.5 Preview is $0.1 cheaper per 1M output tokens (40% lower; 1.67x difference).
GLM 5.3 Flash has 1.05M more context (5.04x larger).
Mercury 2.5 Preview is $0.09 cheaper on the standard workload (42.5% lower).
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
Mercury 2.5 Preview has the lower input price; Mercury 2.5 Preview has the lower output price; GLM 5.3 Flash offers the larger context window. For the 1M input plus 500K output sample, Mercury 2.5 Preview is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for GLM 5.3 Flash and $0.11 for Mercury 2.5 Preview.
Choose GLM 5.3 Flash when you care most about larger context window.
Choose Mercury 2.5 Preview when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $0.2 for GLM 5.3 Flash, saving $0.09 (42.5% lower).
- Mercury 2.5 Preview is $0.09 cheaper on the standard workload (42.5% lower).
- Mercury 2.5 Preview is $0.03 cheaper per 1M input tokens (46.7% lower; 1.88x difference).
- Mercury 2.5 Preview is $0.1 cheaper per 1M output tokens (40% lower; 1.67x difference).
- GLM 5.3 Flash has 1.05M more context (5.04x larger).
| Feature | New🔥GLM 5.3 Flash (Z.ai) | NewMercury 2.5 Preview (Inception) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.04 |
| Completion Price per 1M tokens | $0.25 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.2 | $0.11 |
| Context Window | 1.31M | 260K |
| Release Date | ||
| Popularity | #3 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Mercury 2.5 Preview | On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.11 vs $0.2 for GLM 5.3 Flash, saving $0.09 (42.5% lower). |
| High-volume input processing | Mercury 2.5 Preview | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Mercury 2.5 Preview | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 5.3 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 5.2 (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
- GLM 4.5 Air (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.15.
- No larger-context model is currently tracked within a close sample-cost band.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- GPT-5.6 Luna · OpenAI · #2
- MiMo-V2.5 · Xiaomi · #4
- Hy3 · Tencent · #5
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsZ.ai catalog
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