DeepSeek-V4-Flash-0731 vs Muse Spark Open
DeepSeek-V4-Flash-0731 and Muse Spark Open are closely matched at 43.0 and 44.9 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 22.2x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and Muse Spark Open are closely matched on the overall LLM Stats Score at 43.0 and 44.9.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 22.2x 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-Flash-0731
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 22.2x cheaper per token
Choose Muse Spark Open
- 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
9 reported for DeepSeek-V4-Flash-0731 · 17 for Muse Spark Open
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (Terminal-Bench 2.1), while Muse Spark Open is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 20.8x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 23.6x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 512.0B more parameters than DeepSeek-V4-Flash-0731, making it 168.4% 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-Flash-0731 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Muse Spark Open
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 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-Flash-0731 was released on 2026-07-31, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 3 months newer than DeepSeek-V4-Flash-0731.
Jul 31, 2026
2 months ago
Oct 15, 2026
4 days ago
2mo 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-Flash-0731 is available from DeepInfra, Novita, Fireworks. Muse Spark Open is available from Together.
DeepSeek-V4-Flash-0731
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Muse Spark Open.
Related comparisons
More DeepSeek-V4-Flash-0731 comparisons
- DeepSeek-V4-Flash-0731 vs MiniMax M3.1 Flash
- DeepSeek-V4-Flash-0731 vs DeepSeek-V4.1-Flash-1017
- DeepSeek-V4-Flash-0731 vs Nemotron Labs Dory 1.0 (4B)
- DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Bolt (74B A9B 24GB)
- DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Super VL (120B A12B)
- DeepSeek-V4-Flash-0731 vs Muse Wonder