Muse Glimmer 30B (batch) is $0.17 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
LFM2.5-2.6B vs Muse Glimmer 30B (batch)
Pick Muse Glimmer 30B (batch) 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 Muse Glimmer 30B (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, Muse Glimmer 30B (batch) is estimated at $0.55 vs $0.6 for LFM2.5-2.6B, saving $0.05 (8.3% lower).
Cost-first pickMuse Glimmer 30B (batch)
Context-first pickMuse Glimmer 30B (batch)
Sample savings$0.058.3%
10x traffic gap$0.5
Muse Glimmer 30B (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.5. 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 Muse Glimmer 30B (batch), balanced workload favors LFM2.5-2.6B, and output-heavy chatbot favors LFM2.5-2.6B.
| Workload shape | Token mix | Better pick | LFM2.5-2.6B | Muse Glimmer 30B (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Muse Glimmer 30B (batch) | $2 | $1.25 |
| Balanced workload | 1M input + 1M output | LFM2.5-2.6B | $0.85 | $0.93 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-2.6B | $2.85 | $3.92 |
LFM2.5-2.6B is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
Muse Glimmer 30B (batch) has 3.07K more context (1.02x larger).
Muse Glimmer 30B (batch) is $0.05 cheaper on the standard workload (8.3% 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
Muse Glimmer 30B (batch) has the lower input price; LFM2.5-2.6B has the lower output price; Muse Glimmer 30B (batch) offers the larger context window. For the 1M input plus 500K output sample, Muse Glimmer 30B (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.6 for LFM2.5-2.6B and $0.55 for Muse Glimmer 30B (batch).
Choose LFM2.5-2.6B when you care most about lower output-token price.
Choose Muse Glimmer 30B (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Muse Glimmer 30B (batch) is estimated at $0.55 vs $0.6 for LFM2.5-2.6B, saving $0.05 (8.3% lower).
- Muse Glimmer 30B (batch) is $0.05 cheaper on the standard workload (8.3% lower).
- Muse Glimmer 30B (batch) is $0.17 cheaper per 1M input tokens (50% lower; 2x difference).
- LFM2.5-2.6B is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- Muse Glimmer 30B (batch) has 3.07K more context (1.02x larger).
| Feature | LFM2.5-2.6B (LiquidAI) | Muse Glimmer 30B (batch) (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.35 | $0.175 |
| Completion Price per 1M tokens | $0.5 | $0.75 |
| Sample Workload Cost 1M input + 500K output | $0.6 | $0.55 |
| Context Window | 128K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Muse Glimmer 30B (batch) | On the standard 1M input plus 500K output workload, Muse Glimmer 30B (batch) is estimated at $0.55 vs $0.6 for LFM2.5-2.6B, saving $0.05 (8.3% lower). |
| High-volume input processing | Muse Glimmer 30B (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2.5-2.6B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Muse Glimmer 30B (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM2.5-2.6B (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Thinking (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
- LFM2-24B-A2B can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #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.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsLiquidAI catalog
Review all tracked LiquidAI models before deciding whether this matchup is the right shortlist.
Open LiquidAI modelsMeta catalog
Check other Meta models with comparable pricing, context, or release timing.
Open Meta modelsLFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
Muse 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...