DeepSeek-V4-Flash-Vision-Exp vs Muse Spark 1.1
DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.1 are closely matched at 47.0 and 49.9 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 1.1 are closely matched on the overall LLM Stats Score at 47.0 and 49.9.
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, 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 6.1x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose Muse Spark 1.1
- you want predictable pricing at $1.25/M input and $4.25/M output
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 · 11 for Muse Spark 1.1
DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while Muse Spark 1.1 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 5.7x cheaper than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 6.4x cheaper than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Muse Spark 1.1 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. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark 1.1
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Muse Spark 1.1 was released on 2026-07-09.
DeepSeek-V4-Flash-Vision-Exp is 1 month newer than Muse Spark 1.1.
Aug 21, 2026
2 weeks ago
1mo newerJul 9, 2026
1 months 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 1.1 is available from Meta Model API.
DeepSeek-V4-Flash-Vision-Exp
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Muse Spark 1.1.