MiMo-V2.5 is $0.29 cheaper per 1M input tokens (67.4% lower; 3.07x difference).
API cost decision in 10 seconds
MiMo-V2.5 vs GLM 4.6
Pick MiMo-V2.5 when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2.5 when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.3 for GLM 4.6, saving $1.02 (78.5% lower).
Cost-first pickMiMo-V2.5
Context-first pickMiMo-V2.5
Sample savings$1.0278.5%
10x traffic gap$10.2
MiMo-V2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $10.2. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2.5 | GLM 4.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2.5 | $0.84 | $3.02 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5 | $0.42 | $2.17 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5 | $1.54 | $9.13 |
MiMo-V2.5 is $1.46 cheaper per 1M output tokens (83.9% lower; 6.21x difference).
MiMo-V2.5 has 845.82K more context (5.17x larger).
MiMo-V2.5 is $1.02 cheaper on the standard workload (78.5% 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
MiMo-V2.5 has the lower input price; MiMo-V2.5 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.5 and $1.3 for GLM 4.6.
Choose MiMo-V2.5 when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GLM 4.6 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.3 for GLM 4.6, saving $1.02 (78.5% lower).
- MiMo-V2.5 is $1.02 cheaper on the standard workload (78.5% lower).
- MiMo-V2.5 is $0.29 cheaper per 1M input tokens (67.4% lower; 3.07x difference).
- MiMo-V2.5 is $1.46 cheaper per 1M output tokens (83.9% lower; 6.21x difference).
- MiMo-V2.5 has 845.82K more context (5.17x larger).
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2.5 | On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.3 for GLM 4.6, saving $1.02 (78.5% lower). |
| High-volume input processing | MiMo-V2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2.5 when lower sample workload cost matters most: $0.25.
- 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.
- 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 · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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