AI Model Release Tracker - Analytics

DeepSeek-V4-FlashvsMuse Spark

DeepSeek-V4-Flash
Muse Spark
Benchmarks
Nonsense detection
BullshitBench v2
18%
Agentic coding
SWE-Bench Pro
55%
Coding
SWE-Bench Verified
77.4%
Agentic coding
DeepSWE 1.1
10%
Competitive coding
LiveCodeBench
91.6%
Agentic terminal coding
Terminal-Bench 2.1
67.3%
Multi-step tool use
MCP Atlas
82.2%
Professional tool use
JobBench
17%
Personal tool use
Toolathlon-Verified
49.4%
Multidisciplinary reasoning
Humanity's Last Exam · with tools
50.4%
Abstract reasoning
ARC-AGI-2
42.5%
Science
GPQA Diamond
88.1%
89.5%Best
Agentic computer use
OSWorld-Verified
53.3%
Chart reasoning
CharXiv Reasoning
88.9%
Visual reasoning
BabyVision
39.9%
Multimodal
MMMU
80.4%
Community preference
Arena Elo (Text)
1488
Timeline
Release gapMuse Spark shipped 16 days before DeepSeek-V4-Flash
Overview
CompanyDeepSeekMeta
Release dateApr 24 2026Apr 8 2026
AccessOpen WeightProprietary

Which is better: DeepSeek-V4-Flash or Muse Spark?

Muse Spark leads DeepSeek-V4-Flash on 1 of the 1 benchmark they both report (GPQA Diamond). Muse Spark shipped 16 days before DeepSeek-V4-Flash, so benchmark comparisons should account for the intervening progress.

DeepSeek-V4-Flash is open weight, while Muse Spark is proprietary.

On GPQA Diamond, Muse Spark leads at 89.5% vs DeepSeek-V4-Flash at 88.1%.

Frequently asked questions

DeepSeek-V4-Flash was released by DeepSeek on Apr 24 2026.

Muse Spark was released by Meta on Apr 8 2026.

Muse Spark leads on GPQA Diamond — DeepSeek-V4-Flash 88.1% vs Muse Spark 89.5%.

DeepSeek-V4-Flash is an open weight model released by DeepSeek. Muse Spark is a proprietary model released by Meta.

Other comparisons