MiMo-V2.5-Pro is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
NewGrok 4.3 vs MiMo-V2.5-Pro
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $2.5 for the standard 1M input plus 500K output workload.
Context-window winner: MiMo-V2.5-Pro. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors MiMo-V2.5-Pro, balanced workload favors Grok 4.3, and output-heavy chatbot favors Grok 4.3.
| Workload shape | Token mix | Better pick | Grok 4.3 | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2.5-Pro | $7.5 | $6.5 |
| Balanced workload | 1M input + 1M output | Grok 4.3 | $3.75 | $4 |
| Output-heavy chatbot | 1M input + 5M output | Grok 4.3 | $13.75 | $16 |
Grok 4.3 is $0.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
MiMo-V2.5-Pro has 48.58K more context (1.05x larger).
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $2.5.
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-Pro has the lower input price; Grok 4.3 has the lower output price; MiMo-V2.5-Pro offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Grok 4.3 and $2.5 for MiMo-V2.5-Pro.
Choose Grok 4.3 when you care most about lower output-token price.
Choose MiMo-V2.5-Pro when you care most about lower input-token price, and larger context window.
- Both models are estimated at $2.5 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $2.5.
- MiMo-V2.5-Pro is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
- Grok 4.3 is $0.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- MiMo-V2.5-Pro has 48.58K more context (1.05x larger).
| Feature | NewGrok 4.3 (xAI) | MiMo-V2.5-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $1 |
| Completion Price per 1M tokens | $2.5 | $3 |
| Sample Workload Cost 1M input + 500K output | $2.5 | $2.5 |
| Context Window | 1M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $2.5 for the standard 1M input plus 500K output workload. |
| High-volume input processing | MiMo-V2.5-Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Grok 4.3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5-Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Grok Build 0.1 can replace Grok 4.3 when lower sample workload cost matters most: $2.
- MiMo-V2-Flash can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.25.
- MiMo-V2.5 can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
- MiMo-V2-Omni can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $1.4.
- 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.
- 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
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