Ring-2.6-1T is $0.07 cheaper per 1M input tokens (49.8% lower; 1.99x difference).
API cost decision in 10 seconds
NewRing-2.6-1T vs Qwen3 235B A22B Thinking 2507
Pick Ring-2.6-1T when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ring-2.6-1T when budget is the priority.
On the standard 1M input plus 500K output workload, Ring-2.6-1T is estimated at $0.39 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.51 (56.8% lower).
Cost-first pickRing-2.6-1T
Context-first pickBoth models
Sample savings$0.5156.8%
10x traffic gap$5.1
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $5.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ring-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ring-2.6-1T | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ring-2.6-1T | $0.69 | $1.5 |
| Balanced workload | 1M input + 1M output | Ring-2.6-1T | $0.7 | $1.64 |
| Output-heavy chatbot | 1M input + 5M output | Ring-2.6-1T | $3.2 | $7.62 |
Ring-2.6-1T is $0.87 cheaper per 1M output tokens (58.2% lower; 2.39x difference).
Both models report the same context window at 262.14K tokens.
Ring-2.6-1T is $0.51 cheaper on the standard workload (56.8% 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; Ring-2.6-1T has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Ring-2.6-1T is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Ring-2.6-1T and $0.9 for Qwen3 235B A22B Thinking 2507.
Choose Ring-2.6-1T when you care most about lower input-token price, and lower output-token price.
Choose Qwen3 235B A22B Thinking 2507 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, Ring-2.6-1T is estimated at $0.39 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.51 (56.8% lower).
- Ring-2.6-1T is $0.51 cheaper on the standard workload (56.8% lower).
- Ring-2.6-1T is $0.07 cheaper per 1M input tokens (49.8% lower; 1.99x difference).
- Ring-2.6-1T is $0.87 cheaper per 1M output tokens (58.2% lower; 2.39x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | NewRing-2.6-1T (inclusionAI) | Qwen3 235B A22B Thinking 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.1495 |
| Completion Price per 1M tokens | $0.625 | $1.495 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $0.9 |
| Context Window | 262.14K | 262.14K |
| Release Date | ||
| Popularity | #64 | #133 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ring-2.6-1T | On the standard 1M input plus 500K output workload, Ring-2.6-1T is estimated at $0.39 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.51 (56.8% 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 | Ring-2.6-1T | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling-2.6-flash can replace Ring-2.6-1T when lower sample workload cost matters most: $0.03.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsinclusionAI catalog
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