Ling 3.1 Flash is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
NewLing 3.1 Flash vs Muse Spark 1.3 Contributor
Pick Ling 3.1 Flash for lower cost; pick Muse Spark 1.3 Contributor 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 Ling 3.1 Flash for lower cost; pick Muse Spark 1.3 Contributor only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Ling 3.1 Flash is estimated at $0.19 vs $0.2 for Muse Spark 1.3 Contributor, saving $0.01 (6.3% lower).
Cost-first pickLing 3.1 Flash
Context-first pickMuse Spark 1.3 Contributor
Sample savings$0.016.3%
10x traffic gap$0.13
Muse Spark 1.3 Contributor has more context, but Ling 3.1 Flash saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.13. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Ling 3.1 Flash, balanced workload favors Ling 3.1 Flash, and output-heavy chatbot favors Muse Spark 1.3 Contributor.
| Workload shape | Token mix | Better pick | Ling 3.1 Flash | Muse Spark 1.3 Contributor |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling 3.1 Flash | $0.49 | $0.6 |
| Balanced workload | 1M input + 1M output | Ling 3.1 Flash | $0.3 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Muse Spark 1.3 Contributor | $1.2 | $1.1 |
Muse Spark 1.3 Contributor is $0.02 cheaper per 1M output tokens (11.1% lower; 1.12x difference).
Muse Spark 1.3 Contributor has 786.43K more context (4x larger).
Ling 3.1 Flash is $0.01 cheaper on the standard workload (6.3% 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 3.1 Flash has the lower input price; Muse Spark 1.3 Contributor has the lower output price; Muse Spark 1.3 Contributor offers the larger context window. For the 1M input plus 500K output sample, Ling 3.1 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.19 for Ling 3.1 Flash and $0.2 for Muse Spark 1.3 Contributor.
Choose Ling 3.1 Flash when you care most about lower input-token price.
Choose Muse Spark 1.3 Contributor when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ling 3.1 Flash is estimated at $0.19 vs $0.2 for Muse Spark 1.3 Contributor, saving $0.01 (6.3% lower).
- Ling 3.1 Flash is $0.01 cheaper on the standard workload (6.3% lower).
- Ling 3.1 Flash is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Muse Spark 1.3 Contributor is $0.02 cheaper per 1M output tokens (11.1% lower; 1.12x difference).
- Muse Spark 1.3 Contributor has 786.43K more context (4x larger).
| Feature | NewLing 3.1 Flash (inclusionAI) | Muse Spark 1.3 Contributor (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.1 |
| Completion Price per 1M tokens | $0.225 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $0.19 | $0.2 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling 3.1 Flash | On the standard 1M input plus 500K output workload, Ling 3.1 Flash is estimated at $0.19 vs $0.2 for Muse Spark 1.3 Contributor, saving $0.01 (6.3% lower). |
| High-volume input processing | Ling 3.1 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Muse Spark 1.3 Contributor | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Muse Spark 1.3 Contributor | 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 3.1 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Sante (free) can replace Ling 3.1 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Flash Fin (free) can replace Ling 3.1 Flash when lower sample workload cost matters most: $0.
- Ling 3.0 Tiny (free) can replace Ling 3.1 Flash when lower sample workload cost matters most: $0.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- GPT-6 Luna (batch) offers 1.05M context with $0.17 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
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- MiMo-V2.6-Flash · Xiaomi · #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 largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsinclusionAI catalog
Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.
Open inclusionAI modelsMeta catalog
Check other Meta models with comparable pricing, context, or release timing.
Open Meta modelsLing 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...