DeepSeek-V4-Flash-Vision-Exp vs Muse Spark Open
DeepSeek-V4-Flash-Vision-Exp and Muse Spark Open are closely matched at 44.0 and 44.9 on the LLM Stats Score. DeepSeek-V4-Flash-Vision-Exp is 6.1x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Muse Spark Open are closely matched on the overall LLM Stats Score at 44.0 and 44.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 6.1x 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-Vision-Exp
- cost matters — it's about 6.1x cheaper per token
Choose Muse Spark Open
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for DeepSeek-V4-Flash-Vision-Exp · 17 for Muse Spark Open
DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while Muse Spark Open is better at 1 benchmark (ZEROBench).
Both models are evenly matched across the 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-Vision-Exp ($0.22/1M tokens) is 5.7x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 6.4x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4-Flash-Vision-Exp is limited to 393,216 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4-Flash-Vision-Exp and Muse Spark Open support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark Open
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 2 months newer than DeepSeek-V4-Flash-Vision-Exp.
Aug 21, 2026
2 months ago
Oct 15, 2026
5 days ago
1mo 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-Vision-Exp is available from DeepSeek, DeepInfra. Muse Spark Open is available from Together.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Muse Spark Open.
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