OpenAI GPT Mini Latest is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
API cost decision in 10 seconds
NewQwen3.8 2.4T A95B vs OpenAI GPT Mini Latest
Pick OpenAI GPT Mini Latest for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick OpenAI GPT Mini Latest for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, OpenAI GPT Mini Latest is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower).
Cost-first pickOpenAI GPT Mini Latest
Context-first pickQwen3.8 2.4T A95B
Sample savings$240%
10x traffic gap$20
Qwen3.8 2.4T A95B has more context, but OpenAI GPT Mini Latest saves $2 on the standard workload. At 10x that traffic, the same price gap is about $20. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
OpenAI GPT Mini Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 2.4T A95B | OpenAI GPT Mini Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | OpenAI GPT Mini Latest | $13 | $6 |
| Balanced workload | 1M input + 1M output | OpenAI GPT Mini Latest | $8 | $5.25 |
| Output-heavy chatbot | 1M input + 5M output | OpenAI GPT Mini Latest | $32 | $23.25 |
OpenAI GPT Mini Latest is $1.5 cheaper per 1M output tokens (25% lower; 1.33x difference).
Qwen3.8 2.4T A95B has 648.58K more context (2.62x larger).
OpenAI GPT Mini Latest is $2 cheaper on the standard workload (40% 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
OpenAI GPT Mini Latest has the lower input price; OpenAI GPT Mini Latest has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, OpenAI GPT Mini Latest is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $3 for OpenAI GPT Mini Latest.
Choose Qwen3.8 2.4T A95B when you care most about larger context window.
Choose OpenAI GPT Mini Latest when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, OpenAI GPT Mini Latest is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower).
- OpenAI GPT Mini Latest is $2 cheaper on the standard workload (40% lower).
- OpenAI GPT Mini Latest is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
- OpenAI GPT Mini Latest is $1.5 cheaper per 1M output tokens (25% lower; 1.33x difference).
- Qwen3.8 2.4T A95B has 648.58K more context (2.62x larger).
| Feature | NewQwen3.8 2.4T A95B (Qwen) | OpenAI GPT Mini Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $0.75 |
| Completion Price per 1M tokens | $6 | $4.5 |
| Sample Workload Cost 1M input + 500K output | $5 | $3 |
| Context Window | 1.05M | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | OpenAI GPT Mini Latest | On the standard 1M input plus 500K output workload, OpenAI GPT Mini Latest is estimated at $3 vs $5 for Qwen3.8 2.4T A95B, saving $2 (40% lower). |
| High-volume input processing | OpenAI GPT Mini Latest | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | OpenAI GPT Mini Latest | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.8 2.4T A95B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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Open OpenAI modelsQwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
This model always redirects to the latest model in the OpenAI GPT Mini family.