MiMo-V2-Omni is $0.03 cheaper per 1M input tokens (7% lower; 1.07x difference).
API cost decision in 10 seconds
GLM 4.6 vs MiMo-V2-Omni
Pick GLM 4.6 for lower cost; pick MiMo-V2-Omni 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 GLM 4.6 for lower cost; pick MiMo-V2-Omni only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for MiMo-V2-Omni, saving $0.1 (7.1% lower).
Cost-first pickGLM 4.6
Context-first pickMiMo-V2-Omni
Sample savings$0.17.1%
10x traffic gap$1
MiMo-V2-Omni has more context, but GLM 4.6 saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $1. 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 MiMo-V2-Omni, balanced workload favors GLM 4.6, and output-heavy chatbot favors GLM 4.6.
| Workload shape | Token mix | Better pick | GLM 4.6 | MiMo-V2-Omni |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $3.02 | $3 |
| Balanced workload | 1M input + 1M output | GLM 4.6 | $2.17 | $2.4 |
| Output-heavy chatbot | 1M input + 5M output | GLM 4.6 | $9.13 | $10.4 |
GLM 4.6 is $0.26 cheaper per 1M output tokens (13% lower; 1.15x difference).
MiMo-V2-Omni has 59.39K more context (1.29x larger).
GLM 4.6 is $0.1 cheaper on the standard workload (7.1% 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
MiMo-V2-Omni has the lower input price; GLM 4.6 has the lower output price; MiMo-V2-Omni offers the larger context window. For the 1M input plus 500K output sample, GLM 4.6 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for GLM 4.6 and $1.4 for MiMo-V2-Omni.
Choose GLM 4.6 when you care most about lower output-token price.
Choose MiMo-V2-Omni when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for MiMo-V2-Omni, saving $0.1 (7.1% lower).
- GLM 4.6 is $0.1 cheaper on the standard workload (7.1% lower).
- MiMo-V2-Omni is $0.03 cheaper per 1M input tokens (7% lower; 1.07x difference).
- GLM 4.6 is $0.26 cheaper per 1M output tokens (13% lower; 1.15x difference).
- MiMo-V2-Omni has 59.39K more context (1.29x larger).
| Feature | GLM 4.6 (Z.ai) | MiMo-V2-Omni (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.43 | $0.4 |
| Completion Price per 1M tokens | $1.74 | $2 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $1.4 |
| Context Window | 202.75K | 262.14K |
| Release Date | ||
| Popularity | #63 | #127 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 4.6 | On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for MiMo-V2-Omni, saving $0.1 (7.1% lower). |
| High-volume input processing | MiMo-V2-Omni | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 4.6 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2-Omni | 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 4.6 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.6 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 4.6 when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 4.6 when lower sample workload cost matters most: $0.54.
- 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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