Qwen3.8 27B is $4.6 cheaper per 1M input tokens (92% lower; 12.5x difference).
API cost decision in 10 seconds
NewQwen3.8 27B vs GPT Chat Latest
Pick Qwen3.8 27B 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 Qwen3.8 27B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.8 27B is estimated at $1.9 vs $20 for GPT Chat Latest, saving $18.1 (90.5% lower).
Cost-first pickQwen3.8 27B
Context-first pickQwen3.8 27B
Sample savings$18.190.5%
10x traffic gap$181
Qwen3.8 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $181. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.8 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 27B | GPT Chat Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 27B | $3.5 | $40 |
| Balanced workload | 1M input + 1M output | Qwen3.8 27B | $3.4 | $35 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 27B | $15.4 | $155 |
Qwen3.8 27B is $27 cheaper per 1M output tokens (90% lower; 10x difference).
Qwen3.8 27B has 600K more context (2.5x larger).
Qwen3.8 27B is $18.1 cheaper on the standard workload (90.5% 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
Qwen3.8 27B has the lower input price; Qwen3.8 27B has the lower output price; Qwen3.8 27B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 27B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.9 for Qwen3.8 27B and $20 for GPT Chat Latest.
Choose Qwen3.8 27B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GPT Chat Latest 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, Qwen3.8 27B is estimated at $1.9 vs $20 for GPT Chat Latest, saving $18.1 (90.5% lower).
- Qwen3.8 27B is $18.1 cheaper on the standard workload (90.5% lower).
- Qwen3.8 27B is $4.6 cheaper per 1M input tokens (92% lower; 12.5x difference).
- Qwen3.8 27B is $27 cheaper per 1M output tokens (90% lower; 10x difference).
- Qwen3.8 27B has 600K more context (2.5x larger).
| Feature | NewQwen3.8 27B (Qwen) | GPT Chat Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $5 |
| Completion Price per 1M tokens | $3 | $30 |
| Sample Workload Cost 1M input + 500K output | $1.9 | $20 |
| Context Window | 1M | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.8 27B | On the standard 1M input plus 500K output workload, Qwen3.8 27B is estimated at $1.9 vs $20 for GPT Chat Latest, saving $18.1 (90.5% lower). |
| High-volume input processing | Qwen3.8 27B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.8 27B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.8 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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