Ministral 3 14B 2512 is $0.2 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
GLM 4.7 vs Ministral 3 14B 2512
Pick Ministral 3 14B 2512 when budget and context both matter.
Budget verdict
Pick Ministral 3 14B 2512 when budget and context both matter.
On the standard 1M input plus 500K output workload, Ministral 3 14B 2512 is estimated at $0.3 vs $1.27 for GLM 4.7, saving $0.97 (76.5% lower).
Ministral 3 14B 2512 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $9.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ministral 3 14B 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 4.7 | Ministral 3 14B 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ministral 3 14B 2512 | $2.88 | $1.1 |
| Balanced workload | 1M input + 1M output | Ministral 3 14B 2512 | $2.15 | $0.4 |
| Output-heavy chatbot | 1M input + 5M output | Ministral 3 14B 2512 | $9.15 | $1.2 |
Ministral 3 14B 2512 is $1.55 cheaper per 1M output tokens (88.6% lower; 8.75x difference).
Ministral 3 14B 2512 has 59.39K more context (1.29x larger).
Ministral 3 14B 2512 is $0.97 cheaper on the standard workload (76.5% 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
Ministral 3 14B 2512 has the lower input price; Ministral 3 14B 2512 has the lower output price; Ministral 3 14B 2512 offers the larger context window. For the 1M input plus 500K output sample, Ministral 3 14B 2512 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 $0.3 for Ministral 3 14B 2512.
Choose GLM 4.7 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Ministral 3 14B 2512 when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ministral 3 14B 2512 is estimated at $0.3 vs $1.27 for GLM 4.7, saving $0.97 (76.5% lower).
- Ministral 3 14B 2512 is $0.97 cheaper on the standard workload (76.5% lower).
- Ministral 3 14B 2512 is $0.2 cheaper per 1M input tokens (50% lower; 2x difference).
- Ministral 3 14B 2512 is $1.55 cheaper per 1M output tokens (88.6% lower; 8.75x difference).
- Ministral 3 14B 2512 has 59.39K more context (1.29x larger).
| Feature | GLM 4.7 (Z.ai) | Ministral 3 14B 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.2 |
| Completion Price per 1M tokens | $1.75 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $1.27 | $0.3 |
| Context Window | 202.75K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ministral 3 14B 2512 | On the standard 1M input plus 500K output workload, Ministral 3 14B 2512 is estimated at $0.3 vs $1.27 for GLM 4.7, saving $0.97 (76.5% lower). |
| High-volume input processing | Ministral 3 14B 2512 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ministral 3 14B 2512 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ministral 3 14B 2512 | 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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