Hy-MT2-7B is $0.28 cheaper per 1M input tokens (78.9% lower; 4.73x difference).
API cost decision in 10 seconds
NewHy-MT2-7B vs Muse Glimmer 30B
Pick Hy-MT2-7B for lower cost; pick Muse Glimmer 30B only if the larger context window matters more.
Budget verdict
Pick Hy-MT2-7B for lower cost; pick Muse Glimmer 30B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $1.1 for Muse Glimmer 30B, saving $0.88 (79.9% lower).
Muse Glimmer 30B has more context, but Hy-MT2-7B saves $0.88 on the standard workload. At 10x that traffic, the same price gap is about $8.79. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hy-MT2-7B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hy-MT2-7B | Muse Glimmer 30B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hy-MT2-7B | $0.52 | $2.5 |
| Balanced workload | 1M input + 1M output | Hy-MT2-7B | $0.37 | $1.85 |
| Output-heavy chatbot | 1M input + 5M output | Hy-MT2-7B | $1.55 | $7.85 |
Hy-MT2-7B is $1.21 cheaper per 1M output tokens (80.3% lower; 5.08x difference).
Muse Glimmer 30B has 122.88K more context (16x larger).
Hy-MT2-7B is $0.88 cheaper on the standard workload (79.9% 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
Hy-MT2-7B has the lower input price; Hy-MT2-7B has the lower output price; Muse Glimmer 30B offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-7B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for Hy-MT2-7B and $1.1 for Muse Glimmer 30B.
Choose Hy-MT2-7B when you care most about lower input-token price, and lower output-token price.
Choose Muse Glimmer 30B when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $1.1 for Muse Glimmer 30B, saving $0.88 (79.9% lower).
- Hy-MT2-7B is $0.88 cheaper on the standard workload (79.9% lower).
- Hy-MT2-7B is $0.28 cheaper per 1M input tokens (78.9% lower; 4.73x difference).
- Hy-MT2-7B is $1.21 cheaper per 1M output tokens (80.3% lower; 5.08x difference).
- Muse Glimmer 30B has 122.88K more context (16x larger).
| Feature | NewHy-MT2-7B (Tencent) | Muse Glimmer 30B (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.074 | $0.35 |
| Completion Price per 1M tokens | $0.295 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $1.1 |
| Context Window | 8.19K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hy-MT2-7B | On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $1.1 for Muse Glimmer 30B, saving $0.88 (79.9% lower). |
| High-volume input processing | Hy-MT2-7B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hy-MT2-7B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Muse Glimmer 30B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hy-MT2-7B when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hy-MT2-7B when lower sample workload cost matters most: $0.13.
- 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.
- 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
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 hubsTencent catalog
Review all tracked Tencent models before deciding whether this matchup is the right shortlist.
Open Tencent modelsMeta catalog
Check other Meta models with comparable pricing, context, or release timing.
Open Meta modelsHy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.
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...