$ diff deepseek-v4-1-flash muse-spark-1-3
DeepSeek V4.1-Flash vs Muse Spark 1.3
Values come from DeepSeek V4.1-Flash and Muse Spark 1.3, 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.
DeepSeekDeepSeek V4.1-Flash
- context
- 1M
- weights
- open
- $/M in
- $0.15
- $/M out
- $0.6
- context
- 1M
- weights
- closed
- $/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.
- Input price
- DeepSeek V4.1-Flash at $0.15/M against $1.25/M — 8.3× 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 V4.1-Flash at $0.6/M against $4.25/M — 7.1× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- DeepSeek V4.1-Flash publishes weights (MIT (open-weight)); Muse Spark 1.3 is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- DeepSeek V4.1-Flash shipped 8 days after Muse Spark 1.3 (2026-09-10 vs 2026-09-02).
Full spec
| Attribute | DeepSeek V4.1-Flash | Muse Spark 1.3 |
|---|---|---|
| Developer | DeepSeek | Meta AI |
| Released | 2026-09-10 | 2026-09-02 |
| Context window | 1,000,000 | 1,000,000 |
| Pricing | $0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing | Standard $1.25/M input · $4.25/M output · Contributor ≈$0.10/M input · ≈$0.20/M output |
| License | MIT (open-weight) | proprietary |
| Availability | DeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`) | Muse Code, Meta Model API |