Mercury 2.5 is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
API cost decision in 10 seconds
🔥Hunyuan A13B Instruct vs NewMercury 2.5
Pick Mercury 2.5 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 Mercury 2.5 when budget and context both matter.
On the standard 1M input plus 500K output workload, Mercury 2.5 is estimated at $0.11 vs $0.42 for Hunyuan A13B Instruct, saving $0.31 (72.9% lower).
Cost-first pickMercury 2.5
Context-first pickMercury 2.5
Sample savings$0.3172.9%
10x traffic gap$3.1
Mercury 2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Mercury 2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Hunyuan A13B Instruct | Mercury 2.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Mercury 2.5 | $0.99 | $0.28 |
| Balanced workload | 1M input + 1M output | Mercury 2.5 | $0.71 | $0.19 |
| Output-heavy chatbot | 1M input + 5M output | Mercury 2.5 | $2.99 | $0.79 |
Mercury 2.5 is $0.42 cheaper per 1M output tokens (73.7% lower; 3.8x difference).
Mercury 2.5 has 128.93K more context (1.98x larger).
Mercury 2.5 is $0.31 cheaper on the standard workload (72.9% 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
Mercury 2.5 has the lower input price; Mercury 2.5 has the lower output price; Mercury 2.5 offers the larger context window. For the 1M input plus 500K output sample, Mercury 2.5 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 $0.11 for Mercury 2.5.
Choose Hunyuan A13B Instruct when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Mercury 2.5 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, Mercury 2.5 is estimated at $0.11 vs $0.42 for Hunyuan A13B Instruct, saving $0.31 (72.9% lower).
- Mercury 2.5 is $0.31 cheaper on the standard workload (72.9% lower).
- Mercury 2.5 is $0.1 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
- Mercury 2.5 is $0.42 cheaper per 1M output tokens (73.7% lower; 3.8x difference).
- Mercury 2.5 has 128.93K more context (1.98x larger).
| Feature | 🔥Hunyuan A13B Instruct (Tencent) | NewMercury 2.5 (Inception) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.04 |
| Completion Price per 1M tokens | $0.57 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.42 | $0.11 |
| Context Window | 131.07K | 260K |
| Release Date | ||
| Popularity | #18 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Mercury 2.5 | On the standard 1M input plus 500K output workload, Mercury 2.5 is estimated at $0.11 vs $0.42 for Hunyuan A13B Instruct, saving $0.31 (72.9% lower). |
| High-volume input processing | Mercury 2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Mercury 2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Mercury 2.5 | 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
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