Space Bunny Alpha is free for input tokens while Ling 3.0 Flash costs $0.02 per 1M tokens.
API cost decision in 10 seconds
NewSpace Bunny Alpha vs Ling 3.0 Flash
Pick Space Bunny Alpha 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 Space Bunny Alpha when budget and context both matter.
On the standard 1M input plus 500K output workload, Space Bunny Alpha is estimated at $0 vs $0.05 for Ling 3.0 Flash, saving $0.05 (100% lower).
Cost-first pickSpace Bunny Alpha
Context-first pickSpace Bunny Alpha
Sample savings$0.05100%
10x traffic gap$0.53
Space Bunny Alpha is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.53. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Space Bunny Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Space Bunny Alpha | Ling 3.0 Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Space Bunny Alpha | $0 | $0.14 |
| Balanced workload | 1M input + 1M output | Space Bunny Alpha | $0 | $0.08 |
| Output-heavy chatbot | 1M input + 5M output | Space Bunny Alpha | $0 | $0.34 |
Space Bunny Alpha is free for output tokens while Ling 3.0 Flash costs $0.06 per 1M tokens.
Space Bunny Alpha has 737.86K more context (3.81x larger).
Space Bunny Alpha is free for the standard workload while the other model is estimated at $0.05.
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
Space Bunny Alpha has the lower input price; Space Bunny Alpha has the lower output price; Space Bunny Alpha offers the larger context window. For the 1M input plus 500K output sample, Space Bunny Alpha is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Space Bunny Alpha and $0.05 for Ling 3.0 Flash.
Choose Space Bunny Alpha when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Ling 3.0 Flash 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, Space Bunny Alpha is estimated at $0 vs $0.05 for Ling 3.0 Flash, saving $0.05 (100% lower).
- Space Bunny Alpha is free for the standard workload while the other model is estimated at $0.05.
- Space Bunny Alpha is free for input tokens while Ling 3.0 Flash costs $0.02 per 1M tokens.
- Space Bunny Alpha is free for output tokens while Ling 3.0 Flash costs $0.06 per 1M tokens.
- Space Bunny Alpha has 737.86K more context (3.81x larger).
| Feature | NewSpace Bunny Alpha (stealth) | Ling 3.0 Flash (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.021 |
| Completion Price per 1M tokens | $0 | $0.063 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.05 |
| Context Window | 1M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Space Bunny Alpha | On the standard 1M input plus 500K output workload, Space Bunny Alpha is estimated at $0 vs $0.05 for Ling 3.0 Flash, saving $0.05 (100% lower). |
| High-volume input processing | Space Bunny Alpha | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Space Bunny Alpha | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Space Bunny Alpha | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling 3.0 Flash VL (free) can replace Ling 3.0 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Sante (free) can replace Ling 3.0 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Fin (free) can replace Ling 3.0 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Tiny (free) can replace Ling 3.0 Flash when lower sample workload cost matters most: $0.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Ox Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 (free) offers 1.05M context with $0 sample workload cost.
- Inkling Small (free) offers 1.05M context with $0 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #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.
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Open provider hubsstealth catalog
Review all tracked stealth models before deciding whether this matchup is the right shortlist.
Open stealth modelsinclusionAI catalog
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Open inclusionAI modelsSpace Bunny Alpha is an anonymous large model with blazing-fast inference, strong coding capabilities and native multimodal input support. It delivers adjustable reasoning effort, and a 1M-token context window. Space...
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...