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Muse Spark Open vs Nemotron 3.5 Super VL (free)

Signal-by-Signal Comparison
SignalMuse Spark OpenDeltaNemotron 3.5 Super VL (free)
Capabilities
83
--
83
Pricing
96
-4
100
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
96
+14
82
Overall Result
2 wins
of 5
1 wins
Muse Spark Open wins 2 of 5 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

Muse Spark Open

vs

40

Nemotron 3.5 Super VL (free)

Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Muse Spark Open

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

Nemotron 3.5 Super VL (free)

NVIDIA

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Nemotron 3.5 Super VL (free) saves you $337.50/month

That's $4050.00/year compared to Muse Spark Open at your current usage level of 100K calls/month.

100% cheaper
Choose Nemotron 3.5 Super VL (free) for cost optimization

Muse Spark Open pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Nemotron 3.5 Super VL (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Tie
Muse Spark Open

meta

40

Composite Score

Tie
Nemotron 3.5 Super VL (free)

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricMuse Spark OpenNemotron 3.5 Super VL (free)Winner
Overall Score
40
40
--
Rank#189#191
Muse Spark Open
Quality Rank#189#191
Muse Spark Open
Adoption Rank#189#191
Muse Spark Open
Parameters------
Context Window1049K1000K
Muse Spark Open
Pricing$1.25/$4.25/MFree--
Signal Scores
Capabilities
83
83
Muse Spark Open
Pricing
96
100
Nemotron 3.5 Super VL (free)
Context window size
96
95
Muse Spark Open
Recency
100
100
Muse Spark Open
Output Capacity
96
82
Muse Spark Open
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Muse Spark OpenEntry Level

Scores 40/100 (rank #189), placing it in the top 35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nemotron 3.5 Super VL (free)Entry Level

Scores 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Muse Spark Open when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Nemotron 3.5 Super VL (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Muse Spark Open
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.138
Est. monthly (1M tokens/day)$82.50
Nemotron 3.5 Super VL (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Muse Spark OpenFaster
Speed score0/100
Nemotron 3.5 Super VL (free)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Muse Spark Open

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nemotron 3.5 Super VL (free) also offers lower per-token costs for high-volume support

Muse Spark Open

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Spark Open

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Nemotron 3.5 Super VL (free)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark Open

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Muse Spark Open
Which Should You Choose?
Our recommendation:
Muse Spark Open

Muse Spark Open and Nemotron 3.5 Super VL (free) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Muse Spark Open
Recommended

by meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by NVIDIA

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityMuse Spark OpenNemotron 3.5 Super VL (free)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Muse Spark Open

meta

$7.35
estimated monthly cost

Nemotron 3.5 Super VL (free)

NVIDIA

Best Value
$0.000000
estimated monthly cost

Nemotron 3.5 Super VL (free) saves you $7.35/month

That's 100% cheaper than Muse Spark Open at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMuse Spark OpenNemotron 3.5 Super VL (free)
Context Window1.0M1M
Max Output Tokens943,718131,072
Open SourceYesYes
CreatedOct 15, 2026Oct 15, 2026
Last updated: 7m ago

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