Ring-2.6-1T is $0.005 cheaper per 1M input tokens (6.3% lower; 1.07x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash 0731 vs Ring-2.6-1T
Pick DeepSeek V4 Flash 0731 when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4 Flash 0731 when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.39 for Ring-2.6-1T, saving $0.22 (56.1% lower).
Cost-first pickDeepSeek V4 Flash 0731
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.2256.1%
10x traffic gap$2.18
DeepSeek V4 Flash 0731 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.18. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V4 Flash 0731 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash 0731 | Ring-2.6-1T |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V4 Flash 0731 | $0.49 | $0.69 |
| Balanced workload | 1M input + 1M output | DeepSeek V4 Flash 0731 | $0.26 | $0.7 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4 Flash 0731 | $0.98 | $3.2 |
DeepSeek V4 Flash 0731 is $0.45 cheaper per 1M output tokens (71.2% lower; 3.47x difference).
DeepSeek V4 Flash 0731 has 1.05M more context (5x larger).
DeepSeek V4 Flash 0731 is $0.22 cheaper on the standard workload (56.1% 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
Ring-2.6-1T has the lower input price; DeepSeek V4 Flash 0731 has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Flash 0731 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for DeepSeek V4 Flash 0731 and $0.39 for Ring-2.6-1T.
Choose DeepSeek V4 Flash 0731 when you care most about lower output-token price, and larger context window.
Choose Ring-2.6-1T when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.39 for Ring-2.6-1T, saving $0.22 (56.1% lower).
- DeepSeek V4 Flash 0731 is $0.22 cheaper on the standard workload (56.1% lower).
- Ring-2.6-1T is $0.005 cheaper per 1M input tokens (6.3% lower; 1.07x difference).
- DeepSeek V4 Flash 0731 is $0.45 cheaper per 1M output tokens (71.2% lower; 3.47x difference).
- DeepSeek V4 Flash 0731 has 1.05M more context (5x larger).
| Feature | 🔥DeepSeek V4 Flash 0731 (DeepSeek) | Ring-2.6-1T (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.075 |
| Completion Price per 1M tokens | $0.18 | $0.625 |
| Sample Workload Cost 1M input + 500K output | $0.17 | $0.39 |
| Context Window | 1.31M | 262.14K |
| Release Date | ||
| Popularity | #1 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4 Flash 0731 | On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.17 vs $0.39 for Ring-2.6-1T, saving $0.22 (56.1% lower). |
| High-volume input processing | Ring-2.6-1T | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Flash 0731 | 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 (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.
- Ling 3.0 Tiny (free) can replace Ring-2.6-1T when lower sample workload cost matters most: $0.
- Ling-3.0-flash (free) can replace Ring-2.6-1T when lower sample workload cost matters most: $0.
- No larger-context model is currently tracked within a close sample-cost band.
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
- DeepSeek V4 Flash 0423 · DeepSeek · #5
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Open inclusionAI 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....
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...