Hunyuan A13B Instruct is $0.16 cheaper per 1M input tokens (53.3% lower; 2.14x difference).
API cost decision in 10 seconds
🔥Hunyuan A13B Instruct vs Muse Glimmer 30B
Pick Hunyuan A13B Instruct when budget is the priority.
Budget verdict
Pick Hunyuan A13B Instruct when budget is the priority.
On the standard 1M input plus 500K output workload, Hunyuan A13B Instruct is estimated at $0.42 vs $0.85 for Muse Glimmer 30B, saving $0.43 (50% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $4.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Hunyuan A13B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hunyuan A13B Instruct | Muse Glimmer 30B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Hunyuan A13B Instruct | $0.99 | $2.05 |
| Balanced workload | 1M input + 1M output | Hunyuan A13B Instruct | $0.71 | $1.4 |
| Output-heavy chatbot | 1M input + 5M output | Hunyuan A13B Instruct | $2.99 | $5.8 |
Hunyuan A13B Instruct is $0.53 cheaper per 1M output tokens (48.2% lower; 1.93x difference).
Both models report the same context window at 131.07K tokens.
Hunyuan A13B Instruct is $0.43 cheaper on the standard workload (50% 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
Hunyuan A13B Instruct has the lower input price; Hunyuan A13B Instruct has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Hunyuan A13B Instruct is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.42 for Hunyuan A13B Instruct and $0.85 for Muse Glimmer 30B.
Choose Hunyuan A13B Instruct when you care most about lower input-token price, and lower output-token price.
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, Hunyuan A13B Instruct is estimated at $0.42 vs $0.85 for Muse Glimmer 30B, saving $0.43 (50% lower).
- Hunyuan A13B Instruct is $0.43 cheaper on the standard workload (50% lower).
- Hunyuan A13B Instruct is $0.16 cheaper per 1M input tokens (53.3% lower; 2.14x difference).
- Hunyuan A13B Instruct is $0.53 cheaper per 1M output tokens (48.2% lower; 1.93x difference).
- Both models report the same context window at 131.07K tokens.
| Feature | 🔥Hunyuan A13B Instruct (Tencent) | Muse Glimmer 30B (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.3 |
| Completion Price per 1M tokens | $0.57 | $1.1 |
| Sample Workload Cost 1M input + 500K output | $0.42 | $0.85 |
| Context Window | 131.07K | 131.07K |
| Release Date | ||
| Popularity | #18 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Hunyuan A13B Instruct | On the standard 1M input plus 500K output workload, Hunyuan A13B Instruct is estimated at $0.42 vs $0.85 for Muse Glimmer 30B, saving $0.43 (50% lower). |
| High-volume input processing | Hunyuan A13B Instruct | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Hunyuan A13B Instruct | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Hy3 (free) can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.
- Hy-MT2-1.8B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.13.
- Hy-MT2-30B-A3B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.
- Hy-MT2-7B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.
- Hy4 preview · Tencent · #1
- GPT-5.6 Luna · OpenAI · #2
- DeepSeek V4 Flash 0731 · 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 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 modelsHunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
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...