Compare · ModelsLive · 2 picked · head to head
DeepSeek V4 Flash vs Muse Spark
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Muse Spark wins on 3/4 benchmarks
Muse Spark wins 3 of 4 shared benchmarks. Leads in speed · arena.
Category leads
speed·Muse Sparkarena·Muse Spark
Hype vs Reality
Attention vs performance
DeepSeek V4 Flash
#31 by perf·no signal
Muse Spark
#83 by perf·no signal
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
U
Unknown
private · undisclosed
Head to head
4 benchmarks · 2 models
DeepSeek V4 FlashMuse Spark
Artificial Analysis · Agentic Index
DeepSeek V4 Flash leads by +2.4
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
DeepSeek V4 Flash
31.1
Muse Spark
28.7
Artificial Analysis · Coding Index
Muse Spark leads by +2.4
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
DeepSeek V4 Flash
56.2
Muse Spark
58.6
Artificial Analysis · Quality Index
Muse Spark leads by +2.8
DeepSeek V4 Flash
40.3
Muse Spark
43.1
Chatbot Arena Elo · Overall
Muse Spark leads by +53.1
DeepSeek V4 Flash
1433.8
Muse Spark
1487.0
Full benchmark table
| Benchmark | DeepSeek V4 Flash | Muse Spark |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 31.1 | 28.7 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 56.2 | 58.6 |
Artificial Analysis · Quality Index | 40.3 | 43.1 |
Chatbot Arena Elo · Overall | 1433.8 | 1487.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.08 | $0.17 | 1.0M tokens (~524 books) | $1.05 | |
U Muse Spark | — | — | — | — |
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