Beam 1.0 501B A23B is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
NewBeam 1.0 501B A23B vs Muse Glimmer 30B
Pick Beam 1.0 501B A23B when budget and context both matter.
Budget verdict
Pick Beam 1.0 501B A23B when budget and context both matter.
On the standard 1M input plus 500K output workload, Beam 1.0 501B A23B is estimated at $0.75 vs $0.9 for Muse Glimmer 30B, saving $0.15 (16.7% lower).
Beam 1.0 501B A23B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Beam 1.0 501B A23B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Beam 1.0 501B A23B | Muse Glimmer 30B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Beam 1.0 501B A23B | $1.75 | $2.1 |
| Balanced workload | 1M input + 1M output | Beam 1.0 501B A23B | $1.25 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | Beam 1.0 501B A23B | $5.25 | $6.3 |
Beam 1.0 501B A23B is $0.2 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Beam 1.0 501B A23B has 917.5K more context (8x larger).
Beam 1.0 501B A23B is $0.15 cheaper on the standard workload (16.7% 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
Beam 1.0 501B A23B has the lower input price; Beam 1.0 501B A23B has the lower output price; Beam 1.0 501B A23B offers the larger context window. For the 1M input plus 500K output sample, Beam 1.0 501B A23B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.75 for Beam 1.0 501B A23B and $0.9 for Muse Glimmer 30B.
Choose Beam 1.0 501B A23B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Muse Glimmer 30B 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, Beam 1.0 501B A23B is estimated at $0.75 vs $0.9 for Muse Glimmer 30B, saving $0.15 (16.7% lower).
- Beam 1.0 501B A23B is $0.15 cheaper on the standard workload (16.7% lower).
- Beam 1.0 501B A23B is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Beam 1.0 501B A23B is $0.2 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- Beam 1.0 501B A23B has 917.5K more context (8x larger).
| Feature | NewBeam 1.0 501B A23B (Reflection) | Muse Glimmer 30B (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.25 | $0.3 |
| Completion Price per 1M tokens | $1 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0.75 | $0.9 |
| Context Window | 1.05M | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Beam 1.0 501B A23B | On the standard 1M input plus 500K output workload, Beam 1.0 501B A23B is estimated at $0.75 vs $0.9 for Muse Glimmer 30B, saving $0.15 (16.7% lower). |
| High-volume input processing | Beam 1.0 501B A23B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Beam 1.0 501B A23B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Beam 1.0 501B A23B | 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.
- 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.
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Open Meta modelsBeam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
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...