DeepSeek-V4-Flash-Vision-Exp vs Muse Spark 1.2
DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.2 are closely matched at 48.5 and 41.1 on the LLM Stats Score. Muse Spark 1.2 is 2.6x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.2 are closely matched on the overall LLM Stats Score at 48.5 and 41.1.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-Vision-Exp wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.2 is roughly 2.6x 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Muse Spark 1.2
- cost matters — it's about 2.6x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
7 reported for DeepSeek-V4-Flash-Vision-Exp · 3 for Muse Spark 1.2
DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while Muse Spark 1.2 is better at 0 benchmarks.
DeepSeek-V4-Flash-Vision-Exp 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-Vision-Exp ($0.22/1M tokens) is 2.2x more expensive than Muse Spark 1.2 ($0.10/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 3.3x more expensive than Muse Spark 1.2 ($0.20/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Muse Spark 1.2.*
* 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. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Muse Spark 1.2 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark 1.2
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Muse Spark 1.2 was released on 2026-08-05.
DeepSeek-V4-Flash-Vision-Exp is 1 month newer than Muse Spark 1.2.
Aug 21, 2026
1 weeks ago
2w newerAug 5, 2026
3 weeks ago
Knowledge 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. Muse Spark 1.2 is available from Meta Model API.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark 1.2
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Muse Spark 1.2.