Rnj 1 Instruct is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
API cost decision in 10 seconds
GLM 4.7 vs Rnj 1 Instruct
Pick Rnj 1 Instruct for lower cost; pick GLM 4.7 only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Rnj 1 Instruct for lower cost; pick GLM 4.7 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $1.27 for GLM 4.7, saving $1.05 (82.4% lower).
Cost-first pickRnj 1 Instruct
Context-first pickGLM 4.7
Sample savings$1.0582.4%
10x traffic gap$10.5
GLM 4.7 has more context, but Rnj 1 Instruct saves $1.05 on the standard workload. At 10x that traffic, the same price gap is about $10.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Rnj 1 Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 4.7 | Rnj 1 Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Rnj 1 Instruct | $2.88 | $0.82 |
| Balanced workload | 1M input + 1M output | Rnj 1 Instruct | $2.15 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Rnj 1 Instruct | $9.15 | $0.9 |
Rnj 1 Instruct is $1.6 cheaper per 1M output tokens (91.4% lower; 11.7x difference).
GLM 4.7 has 169.98K more context (6.19x larger).
Rnj 1 Instruct is $1.05 cheaper on the standard workload (82.4% 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
Rnj 1 Instruct has the lower input price; Rnj 1 Instruct has the lower output price; GLM 4.7 offers the larger context window. For the 1M input plus 500K output sample, Rnj 1 Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.27 for GLM 4.7 and $0.22 for Rnj 1 Instruct.
Choose GLM 4.7 when you care most about larger context window.
Choose Rnj 1 Instruct when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $1.27 for GLM 4.7, saving $1.05 (82.4% lower).
- Rnj 1 Instruct is $1.05 cheaper on the standard workload (82.4% lower).
- Rnj 1 Instruct is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
- Rnj 1 Instruct is $1.6 cheaper per 1M output tokens (91.4% lower; 11.7x difference).
- GLM 4.7 has 169.98K more context (6.19x larger).
| Feature | GLM 4.7 (Z.ai) | Rnj 1 Instruct (EssentialAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.15 |
| Completion Price per 1M tokens | $1.75 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $1.27 | $0.22 |
| Context Window | 202.75K | 32.77K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Rnj 1 Instruct | On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $1.27 for GLM 4.7, saving $1.05 (82.4% lower). |
| High-volume input processing | Rnj 1 Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Rnj 1 Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 4.7 | 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 4.7 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.7 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 4.7 when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 4.7 when lower sample workload cost matters most: $0.55.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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