Ling-3.0-flash (free) is free for input tokens while Muse Glimmer 30B costs $0.35 per 1M tokens.
API cost decision in 10 seconds
Muse Glimmer 30B vs Ling-3.0-flash (free)
Pick Ling-3.0-flash (free) when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ling-3.0-flash (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Ling-3.0-flash (free) is estimated at $0 vs $1.1 for Muse Glimmer 30B, saving $1.1 (100% lower).
Cost-first pickLing-3.0-flash (free)
Context-first pickLing-3.0-flash (free)
Sample savings$1.1100%
10x traffic gap$11
Ling-3.0-flash (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $11. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ling-3.0-flash (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Muse Glimmer 30B | Ling-3.0-flash (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ling-3.0-flash (free) | $2.5 | $0 |
| Balanced workload | 1M input + 1M output | Ling-3.0-flash (free) | $1.85 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Ling-3.0-flash (free) | $7.85 | $0 |
Ling-3.0-flash (free) is free for output tokens while Muse Glimmer 30B costs $1.5 per 1M tokens.
Ling-3.0-flash (free) has 131.07K more context (2x larger).
Ling-3.0-flash (free) is free for the standard workload while the other model is estimated at $1.1.
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-3.0-flash (free) has the lower input price; Ling-3.0-flash (free) has the lower output price; Ling-3.0-flash (free) offers the larger context window. For the 1M input plus 500K output sample, Ling-3.0-flash (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.1 for Muse Glimmer 30B and $0 for Ling-3.0-flash (free).
Choose Muse Glimmer 30B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Ling-3.0-flash (free) when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ling-3.0-flash (free) is estimated at $0 vs $1.1 for Muse Glimmer 30B, saving $1.1 (100% lower).
- Ling-3.0-flash (free) is free for the standard workload while the other model is estimated at $1.1.
- Ling-3.0-flash (free) is free for input tokens while Muse Glimmer 30B costs $0.35 per 1M tokens.
- Ling-3.0-flash (free) is free for output tokens while Muse Glimmer 30B costs $1.5 per 1M tokens.
- Ling-3.0-flash (free) has 131.07K more context (2x larger).
| Feature | Muse Glimmer 30B (Meta) | Ling-3.0-flash (free) (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.35 | $0 |
| Completion Price per 1M tokens | $1.5 | $0 |
| Sample Workload Cost 1M input + 500K output | $1.1 | $0 |
| Context Window | 131.07K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ling-3.0-flash (free) | On the standard 1M input plus 500K output workload, Ling-3.0-flash (free) is estimated at $0 vs $1.1 for Muse Glimmer 30B, saving $1.1 (100% lower). |
| High-volume input processing | Ling-3.0-flash (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ling-3.0-flash (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ling-3.0-flash (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Llama 3.3 70B Instruct (free) can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.09.
- Llama 3.2 1B Instruct can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.13.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open inclusionAI modelsMuse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
*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...