$ diff deepseek-v4 muse-spark
DeepSeek V4 vs Muse Spark
DeepSeek and Meta AI, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.
DeepSeekDeepSeek V4
- context
- 1M
- weights
- open
- $/M in
- —
- $/M out
- —
- context
- 1M
- weights
- open
- $/M in
- $1.25
- $/M out
- $4.25
What actually differs
- Context window
- Identical — both accept 1M tokens, so context length is not a reason to pick either.
- Weights
- Both publish weights — DeepSeek V4 under MIT (open-weight), Muse Spark under proprietary (closed / API-only, not open-weights). Check the licences rather than assuming they permit the same commercial use.
- Recency
- DeepSeek V4 shipped 99 days after Muse Spark (2026-07-16 vs 2026-04-08).
Full spec
| Attribute | DeepSeek V4 | Muse Spark |
|---|---|---|
| Developer | DeepSeek | Meta AI |
| Released | 2026-07-16 | 2026-04-08 |
| Context window | 1M tokens (384K max output) | 1,000,000 tokens (1.1) |
| Pricing | Peak: 2× off-peak API rates; off-peak rates not disclosed | $1.25/M input · $4.25/M output (Meta Model API, public preview) |
| License | MIT (open-weight) | proprietary (closed / API-only, not open-weights) |
| Availability | DeepSeek API, Hugging Face (deepseek-ai/DeepSeek-V4-Pro) | Meta Model API (public preview, US-based developers only) |
Values come from DeepSeek V4 and Muse Spark, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.