INTELLECT-3 is $0.78 cheaper per 1M input tokens (79.6% lower; 4.9x difference).
API cost decision in 10 seconds
GLM 5.1 vs INTELLECT-3
Pick INTELLECT-3 for lower cost; pick GLM 5.1 only if the larger context window matters more.
Budget verdict
Pick INTELLECT-3 for lower cost; pick GLM 5.1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, INTELLECT-3 is estimated at $0.75 vs $2.52 for GLM 5.1, saving $1.77 (70.2% lower).
GLM 5.1 has more context, but INTELLECT-3 saves $1.77 on the standard workload. At 10x that traffic, the same price gap is about $17.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
INTELLECT-3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 5.1 | INTELLECT-3 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | INTELLECT-3 | $6.44 | $1.55 |
| Balanced workload | 1M input + 1M output | INTELLECT-3 | $4.06 | $1.3 |
| Output-heavy chatbot | 1M input + 5M output | INTELLECT-3 | $16.38 | $5.7 |
INTELLECT-3 is $1.98 cheaper per 1M output tokens (64.3% lower; 2.8x difference).
GLM 5.1 has 71.68K more context (1.55x larger).
INTELLECT-3 is $1.77 cheaper on the standard workload (70.2% 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
INTELLECT-3 has the lower input price; INTELLECT-3 has the lower output price; GLM 5.1 offers the larger context window. For the 1M input plus 500K output sample, INTELLECT-3 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 $0.75 for INTELLECT-3.
Choose GLM 5.1 when you care most about larger context window.
Choose INTELLECT-3 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, INTELLECT-3 is estimated at $0.75 vs $2.52 for GLM 5.1, saving $1.77 (70.2% lower).
- INTELLECT-3 is $1.77 cheaper on the standard workload (70.2% lower).
- INTELLECT-3 is $0.78 cheaper per 1M input tokens (79.6% lower; 4.9x difference).
- INTELLECT-3 is $1.98 cheaper per 1M output tokens (64.3% lower; 2.8x difference).
- GLM 5.1 has 71.68K more context (1.55x larger).
| Feature | GLM 5.1 (Z.ai) | INTELLECT-3 (Prime Intellect) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.98 | $0.2 |
| Completion Price per 1M tokens | $3.08 | $1.1 |
| Sample Workload Cost 1M input + 500K output | $2.52 | $0.75 |
| Context Window | 202.75K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | INTELLECT-3 | On the standard 1M input plus 500K output workload, INTELLECT-3 is estimated at $0.75 vs $2.52 for GLM 5.1, saving $1.77 (70.2% lower). |
| High-volume input processing | INTELLECT-3 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | INTELLECT-3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 5.1 | 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 modelsPrime Intellect catalog
Check other Prime Intellect models with comparable pricing, context, or release timing.
Open Prime Intellect 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...
INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL). It offers state-of-the-art performance for its size across math,...