DeepSeek Pro Latest is $3.77 cheaper per 1M input tokens (94.4% lower; 17.8x difference).
API cost decision in 10 seconds
NewMuse Wonder vs DeepSeek Pro Latest
Pick DeepSeek Pro Latest when budget is the priority.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek Pro Latest when budget is the priority.
On the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $4.22 vs $14 for Muse Wonder, saving $9.78 (69.8% lower).
Cost-first pickDeepSeek Pro Latest
Context-first pickBoth models
Sample savings$9.7869.8%
10x traffic gap$97.75
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $97.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek Pro Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Muse Wonder | DeepSeek Pro Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek Pro Latest | $30 | $5.12 |
| Balanced workload | 1M input + 1M output | DeepSeek Pro Latest | $24 | $8.22 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek Pro Latest | $104 | $40.23 |
DeepSeek Pro Latest is $12 cheaper per 1M output tokens (60% lower; 2.5x difference).
Both models report the same context window at 1.05M tokens.
DeepSeek Pro Latest is $9.78 cheaper on the standard workload (69.8% 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
DeepSeek Pro Latest has the lower input price; DeepSeek Pro Latest has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, DeepSeek Pro Latest is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $14 for Muse Wonder and $4.22 for DeepSeek Pro Latest.
Choose Muse Wonder when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek Pro Latest when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $4.22 vs $14 for Muse Wonder, saving $9.78 (69.8% lower).
- DeepSeek Pro Latest is $9.78 cheaper on the standard workload (69.8% lower).
- DeepSeek Pro Latest is $3.77 cheaper per 1M input tokens (94.4% lower; 17.8x difference).
- DeepSeek Pro Latest is $12 cheaper per 1M output tokens (60% lower; 2.5x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | NewMuse Wonder (Meta) | DeepSeek Pro Latest (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $4 | $0.225 |
| Completion Price per 1M tokens | $20 | $8 |
| Sample Workload Cost 1M input + 500K output | $14 | $4.22 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek Pro Latest | On the standard 1M input plus 500K output workload, DeepSeek Pro Latest is estimated at $4.22 vs $14 for Muse Wonder, saving $9.78 (69.8% lower). |
| High-volume input processing | DeepSeek Pro Latest | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek Pro Latest | 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
- Llama 3.3 70B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.09.
- Llama 3.2 1B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.13.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
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Open DeepSeek modelsMuse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
This model always redirects to the latest model in the DeepSeek Pro family.