Ling-2.6-flash is $0.13 cheaper per 1M input tokens (92.8% lower; 13.9x difference).
API cost decision in 10 seconds
Ling-2.6-flash vs Qwen3.5-35B-A3B
Pick Ling-2.6-flash when budget is the priority.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling-2.6-flash when budget is the priority.
On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $0.64 for Qwen3.5-35B-A3B, saving $0.61 (96.1% lower).
Cost-first pickLing-2.6-flash
Context-first pickBoth models
Sample savings$0.6196.1%
10x traffic gap$6.14
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $6.14. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-2.6-flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ling-2.6-flash | Qwen3.5-35B-A3B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-2.6-flash | $0.07 | $1.2 |
| Balanced workload | 1M input + 1M output | Ling-2.6-flash | $0.04 | $1.14 |
| Output-heavy chatbot | 1M input + 5M output | Ling-2.6-flash | $0.16 | $5.14 |
Ling-2.6-flash is $0.97 cheaper per 1M output tokens (97% lower; 33.3x difference).
Both models report the same context window at 262.14K tokens.
Ling-2.6-flash is $0.61 cheaper on the standard workload (96.1% 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
Ling-2.6-flash has the lower input price; Ling-2.6-flash has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Ling-2.6-flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.03 for Ling-2.6-flash and $0.64 for Qwen3.5-35B-A3B.
Choose Ling-2.6-flash when you care most about lower input-token price, and lower output-token price.
Choose Qwen3.5-35B-A3B 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, Ling-2.6-flash is estimated at $0.03 vs $0.64 for Qwen3.5-35B-A3B, saving $0.61 (96.1% lower).
- Ling-2.6-flash is $0.61 cheaper on the standard workload (96.1% lower).
- Ling-2.6-flash is $0.13 cheaper per 1M input tokens (92.8% lower; 13.9x difference).
- Ling-2.6-flash is $0.97 cheaper per 1M output tokens (97% lower; 33.3x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Ling-2.6-flash (inclusionAI) | Qwen3.5-35B-A3B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.01 | $0.139 |
| Completion Price per 1M tokens | $0.03 | $1 |
| Sample Workload Cost 1M input + 500K output | $0.03 | $0.64 |
| Context Window | 262.14K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-2.6-flash | On the standard 1M input plus 500K output workload, Ling-2.6-flash is estimated at $0.03 vs $0.64 for Qwen3.5-35B-A3B, saving $0.61 (96.1% lower). |
| High-volume input processing | Ling-2.6-flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling-2.6-flash | 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
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5-35B-A3B when lower sample workload cost matters most: $0.11.
- 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 Flash (free) offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
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 largest context modelsProvider catalogs
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Open provider hubsinclusionAI catalog
Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.
Open inclusionAI modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
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