DeepSeek-V4-Pro-Max vs Muse Spark Open
DeepSeek-V4-Pro-Max and Muse Spark Open are closely matched at 42.9 and 44.9 on the LLM Stats Score. DeepSeek-V4-Pro-Max is 1.2x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V4-Pro-Max and Muse Spark Open are closely matched on the overall LLM Stats Score at 42.9 and 44.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Pro-Max is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-Max
- cost matters — it's about 1.2x cheaper per token
Choose Muse Spark Open
- your work emphasizes agents — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for DeepSeek-V4-Pro-Max · 17 for Muse Spark Open
DeepSeek-V4-Pro-Max outperforms in 1 benchmarks (GPQA), while Muse Spark Open is better at 1 benchmark (MCP Atlas).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-Max ($1.30/1M tokens) is 1.0x more expensive than Muse Spark Open ($1.25/1M tokens).
For output processing, DeepSeek-V4-Pro-Max ($2.60/1M tokens) is 1.6x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than DeepSeek-V4-Pro-Max.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 784.0B more parameters than Muse Spark Open, making it 96.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-Max
Muse Spark Open
License
Usage and distribution terms
DeepSeek-V4-Pro-Max is licensed under MIT, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-Max was released on 2026-04-23, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 6 months newer than DeepSeek-V4-Pro-Max.
Apr 23, 2026
5 months ago
Oct 15, 2026
4 days ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-Max is available from DeepInfra, Novita, DeepSeek, Fireworks, Together. Muse Spark Open is available from Together.
DeepSeek-V4-Pro-Max
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-Max and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-Max vs Muse Spark Open.