DeepSeek V4 Pro vs Muse Spark Open
As of November 12, 2026, DeepSeek V4 Pro is cheaper at 3 input tokens per output token, though it costs 6% more per input token than Muse Spark Open ($1.32 vs $1.25 per 1M) and has a 1,000,000-token context window versus 1,048,576.
DeepSeek V4 Pro vs Muse Spark Open side by side
| DeepSeek V4 Pro | Muse Spark Open | |
|---|---|---|
| Input, per 1M tokens | $1.32 | $1.25 |
| Output, per 1M tokens | $3.96 | $4.25 |
| Cache read, per 1M tokens | $0.044 | $0.15 |
| Cache write, per 1M tokens | $0 | – |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Max output | 393,216 tokens | 943,718 tokens |
| Image input | No | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 24 | 5 |
| Price shown is from | DeepSeek | ai& |
| Added to LiteLLM | June 2026 | October 15, 2026 |
Cheapest provider for each
- DeepSeek V4 Pro: CLF AI Gateway at $0.528 input and $1.584 output per 1M tokens (
clf_ai_gateway/deepseek-v4-pro) - Muse Spark Open: ai& at $1.25 input and $4.25 output per 1M tokens (
aiand/meta/muse-spark-open)
When to pick which
Pick DeepSeek V4 Pro for
- Costs 7% less per output token: $3.96 vs $4.25 per 1M.
- Available from 24 providers through LiteLLM, vs 5.
Pick Muse Spark Open for
- Costs 5% less per input token: $1.25 vs $1.32 per 1M.
- Supports image input, which DeepSeek V4 Pro doesn't list.
From differences in the data above only; where the data is equal, no reason is given.
Call DeepSeek V4 Pro or Muse Spark Open with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# DeepSeek V4 Pro
response = completion(model="deepseek-v4-pro", messages=messages)
# Muse Spark Open
response = completion(model="aiand/meta/muse-spark-open", messages=messages)
# DeepSeek V4 Pro, falling back to Muse Spark Open if the call fails
response = completion(model="deepseek-v4-pro", messages=messages, fallbacks=["aiand/meta/muse-spark-open"])FAQ
Which is cheaper, DeepSeek V4 Pro or Muse Spark Open?
DeepSeek V4 Pro is cheaper at 3 input tokens per output token: $1.98 per 1M tokens blended ($1.32 input, $3.96 output), versus $2.00 ($1.25 and $4.25) for Muse Spark Open, as of November 12, 2026.
Which has the larger context window, DeepSeek V4 Pro or Muse Spark Open?
Muse Spark Open has the larger context window: 1,048,576 tokens, versus 1,000,000 for DeepSeek V4 Pro.
Can I switch from DeepSeek V4 Pro to Muse Spark Open without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "deepseek-v4-pro" to "aiand/meta/muse-spark-open", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.