API cost decision in 10 seconds
NewGPT-6.1 Terra Pro vs 🔥DeepSeek V4.1 Flash 1017
Pick DeepSeek V4.1 Flash 1017 for lower cost; pick GPT-6.1 Terra Pro 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 DeepSeek V4.1 Flash 1017 for lower cost; pick GPT-6.1 Terra Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash 1017 is estimated at $0.45 vs $3.5 for GPT-6.1 Terra Pro, saving $3.05 (87.1% lower).
Cost-first pickDeepSeek V4.1 Flash 1017
Context-first pickGPT-6.1 Terra Pro
Sample savings$3.0587.1%
10x traffic gap$30.5
GPT-6.1 Terra Pro has more context, but DeepSeek V4.1 Flash 1017 saves $3.05 on the standard workload. At 10x that traffic, the same price gap is about $30.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V4.1 Flash 1017 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-6.1 Terra Pro | DeepSeek V4.1 Flash 1017 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V4.1 Flash 1017 | $7.5 | $1.05 |
| Balanced workload | 1M input + 1M output | DeepSeek V4.1 Flash 1017 | $6 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4.1 Flash 1017 | $26 | $3.15 |
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
DeepSeek V4.1 Flash 1017 has the lower input price, DeepSeek V4.1 Flash 1017 has the lower output price, and GPT-6.1 Terra Pro offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $3.5 for GPT-6.1 Terra Pro and $0.45 for DeepSeek V4.1 Flash 1017.
Choose GPT-6.1 Terra Pro when you care most about larger context window.
Choose DeepSeek V4.1 Flash 1017 when you care most about lower input-token price, and lower output-token price.
| Feature | NewGPT-6.1 Terra Pro (OpenAI) | 🔥DeepSeek V4.1 Flash 1017 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.15 |
| Completion Price per 1M tokens | $5 | $0.6 |
| Sample Workload Cost 1M input + 500K output | $3.5 | $0.45 |
| Context Window | 1.05M | 1.05M |
| Release Date | 2026-10-26 | 2026-10-17 |
| Popularity | #2 |
GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4.1 Flash 1017 | On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash 1017 is estimated at $0.45 vs $3.5 for GPT-6.1 Terra Pro, saving $3.05 (87.1% lower). |
| High-volume input processing | DeepSeek V4.1 Flash 1017 | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | DeepSeek V4.1 Flash 1017 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-6.1 Terra Pro | A larger context window leaves more room for retrieved passages and source files. |