MiMo-V2-Flash is $1.65 cheaper per 1M input tokens (94.3% lower; 17.5x difference).
API cost decision in 10 seconds
GPT-5.3-Codex vs MiMo-V2-Flash
Pick MiMo-V2-Flash for lower cost; pick GPT-5.3-Codex only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2-Flash for lower cost; pick GPT-5.3-Codex only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $8.75 for GPT-5.3-Codex, saving $8.5 (97.1% lower).
Cost-first pickMiMo-V2-Flash
Context-first pickGPT-5.3-Codex
Sample savings$8.597.1%
10x traffic gap$85
GPT-5.3-Codex has more context, but MiMo-V2-Flash saves $8.5 on the standard workload. At 10x that traffic, the same price gap is about $85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.3-Codex | MiMo-V2-Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Flash | $15.75 | $0.65 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Flash | $15.75 | $0.4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Flash | $71.75 | $1.6 |
MiMo-V2-Flash is $13.7 cheaper per 1M output tokens (97.9% lower; 46.7x difference).
GPT-5.3-Codex has 137.86K more context (1.53x larger).
MiMo-V2-Flash is $8.5 cheaper on the standard workload (97.1% 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-Flash has the lower input price; MiMo-V2-Flash has the lower output price; GPT-5.3-Codex offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.3-Codex and $0.25 for MiMo-V2-Flash.
Choose GPT-5.3-Codex when you care most about larger context window.
Choose MiMo-V2-Flash when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $8.75 for GPT-5.3-Codex, saving $8.5 (97.1% lower).
- MiMo-V2-Flash is $8.5 cheaper on the standard workload (97.1% lower).
- MiMo-V2-Flash is $1.65 cheaper per 1M input tokens (94.3% lower; 17.5x difference).
- MiMo-V2-Flash is $13.7 cheaper per 1M output tokens (97.9% lower; 46.7x difference).
- GPT-5.3-Codex has 137.86K more context (1.53x larger).
| Feature | GPT-5.3-Codex (OpenAI) | MiMo-V2-Flash (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.75 | $0.1 |
| Completion Price per 1M tokens | $14 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $8.75 | $0.25 |
| Context Window | 400K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Flash | On the standard 1M input plus 500K output workload, MiMo-V2-Flash is estimated at $0.25 vs $8.75 for GPT-5.3-Codex, saving $8.5 (97.1% lower). |
| High-volume input processing | MiMo-V2-Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.3-Codex | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
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MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a...