GLM 5.1 is $0.02 cheaper per 1M input tokens (2% lower; 1.02x difference).
API cost decision in 10 seconds
GLM 5.1 vs Relace Search
Pick Relace Search when budget and context both matter.
Budget verdict
Pick Relace Search when budget and context both matter.
On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.52 for GLM 5.1, saving $0.02 (0.8% lower).
Relace Search is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GLM 5.1, balanced workload favors Relace Search, and output-heavy chatbot favors Relace Search.
| Workload shape | Token mix | Better pick | GLM 5.1 | Relace Search |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 5.1 | $6.44 | $6.5 |
| Balanced workload | 1M input + 1M output | Relace Search | $4.06 | $4 |
| Output-heavy chatbot | 1M input + 5M output | Relace Search | $16.38 | $16 |
Relace Search is $0.08 cheaper per 1M output tokens (2.6% lower; 1.03x difference).
Relace Search has 53.25K more context (1.26x larger).
Relace Search is $0.02 cheaper on the standard workload (0.8% 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
GLM 5.1 has the lower input price; Relace Search has the lower output price; Relace Search offers the larger context window. For the 1M input plus 500K output sample, Relace Search is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.52 for GLM 5.1 and $2.5 for Relace Search.
Choose GLM 5.1 when you care most about lower input-token price.
Choose Relace Search when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.52 for GLM 5.1, saving $0.02 (0.8% lower).
- Relace Search is $0.02 cheaper on the standard workload (0.8% lower).
- GLM 5.1 is $0.02 cheaper per 1M input tokens (2% lower; 1.02x difference).
- Relace Search is $0.08 cheaper per 1M output tokens (2.6% lower; 1.03x difference).
- Relace Search has 53.25K more context (1.26x larger).
| Feature | GLM 5.1 (Z.ai) | Relace Search (Relace) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.98 | $1 |
| Completion Price per 1M tokens | $3.08 | $3 |
| Sample Workload Cost 1M input + 500K output | $2.52 | $2.5 |
| Context Window | 202.75K | 256K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Relace Search | On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.52 for GLM 5.1, saving $0.02 (0.8% lower). |
| High-volume input processing | GLM 5.1 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Relace Search | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Relace Search | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 4.5 Air (free) can replace GLM 5.1 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5.1 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 5.1 when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 5.1 when lower sample workload cost matters most: $0.55.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsZ.ai catalog
Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.
Open Z.ai modelsRelace catalog
Check other Relace models with comparable pricing, context, or release timing.
Open Relace modelsGLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...