$ diff muse-spark-1-2 deepseek-v4-flash
Muse Spark 1.2 vs DeepSeek V4-Flash
Values come from Muse Spark 1.2 and DeepSeek V4-Flash, 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.
Meta AIMuse Spark 1.2
- context
- 1M
- weights
- —
- $/M in
- $1.25
- $/M out
- $4.25
- context
- 1.0M
- weights
- open
- $/M in
- $0.14
- $/M out
- $0.28
What actually differs
- Context window
- DeepSeek V4-Flash takes 1.0M against 1M — modestly more room in a single request.
- Input price
- DeepSeek V4-Flash at $0.14/M against $1.25/M — 8.9× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- DeepSeek V4-Flash at $0.28/M against $4.25/M — 15.2× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Muse Spark 1.2 shipped 5 days after DeepSeek V4-Flash (2026-08-05 vs 2026-07-31).
Full spec
| Attribute | Muse Spark 1.2 | DeepSeek V4-Flash |
|---|---|---|
| Developer | Meta AI | DeepSeek |
| Released | 2026-08-05 | 2026-07-31 |
| Context window | 1,000,000 | 1,048,576 (1M) — OpenRouter catalogue `deepseek/deepseek-v4-flash`, read 2026-08-01; DeepSeek's own launch material did not state it |
| Pricing | $1.25/M input · $4.25/M output · $0.15/M cached input | $0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports |
| License | not recorded | MIT (open-weight) |
| Availability | Muse Code (beta, macOS + Linux), Meta Model API | DeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`) |