DeepSeek V4 Flash 0731 is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash 0731 vs NewGPT-6 Luna Pro (batch)
Pick GPT-6 Luna Pro (batch) for lower cost; pick DeepSeek V4 Flash 0731 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 GPT-6 Luna Pro (batch) for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.18 (51.4% lower).
Cost-first pickGPT-6 Luna Pro (batch)
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.1851.4%
10x traffic gap$1.85
DeepSeek V4 Flash 0731 has more context, but GPT-6 Luna Pro (batch) saves $0.18 on the standard workload. At 10x that traffic, the same price gap is about $1.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-6 Luna Pro (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash 0731 | GPT-6 Luna Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-6 Luna Pro (batch) | $0.52 | $0.38 |
| Balanced workload | 1M input + 1M output | GPT-6 Luna Pro (batch) | $0.68 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | GPT-6 Luna Pro (batch) | $3.24 | $1.3 |
GPT-6 Luna Pro (batch) is $0.39 cheaper per 1M output tokens (60.9% lower; 2.56x difference).
DeepSeek V4 Flash 0731 has 260.72K more context (1.25x larger).
GPT-6 Luna Pro (batch) is $0.18 cheaper on the standard workload (51.4% 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
DeepSeek V4 Flash 0731 has the lower input price; GPT-6 Luna Pro (batch) has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna Pro (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.36 for DeepSeek V4 Flash 0731 and $0.17 for GPT-6 Luna Pro (batch).
Choose DeepSeek V4 Flash 0731 when you care most about lower input-token price, and larger context window.
Choose GPT-6 Luna Pro (batch) when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.18 (51.4% lower).
- GPT-6 Luna Pro (batch) is $0.18 cheaper on the standard workload (51.4% lower).
- DeepSeek V4 Flash 0731 is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
- GPT-6 Luna Pro (batch) is $0.39 cheaper per 1M output tokens (60.9% lower; 2.56x difference).
- DeepSeek V4 Flash 0731 has 260.72K more context (1.25x larger).
| Feature | 🔥DeepSeek V4 Flash 0731 (DeepSeek) | NewGPT-6 Luna Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.04 | $0.05 |
| Completion Price per 1M tokens | $0.64 | $0.25 |
| Sample Workload Cost 1M input + 500K output | $0.36 | $0.17 |
| Context Window | 1.31M | 1.05M |
| Release Date | ||
| Popularity | #6 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-6 Luna Pro (batch) | On the standard 1M input plus 500K output workload, GPT-6 Luna Pro (batch) is estimated at $0.17 vs $0.36 for DeepSeek V4 Flash 0731, saving $0.18 (51.4% lower). |
| High-volume input processing | DeepSeek V4 Flash 0731 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-6 Luna Pro (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash 0731 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash 0731 (free) can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.1.
- DeepSeek V4 Flash Vision Exp (batch) can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.28.
- No larger-context model is currently tracked within a close sample-cost band.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsDeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode