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Gemini 3.6 Flash vs Muse Spark 1.1

Gemini 3.6 Flash

Google

80#87
vs
Signal-by-Signal Comparison
SignalGemini 3.6 FlashDeltaMuse Spark 1.1
Capabilities
100
--
100
Benchmarks
78
0
78
Pricing
93
-3
96
Context window size
96
--
96
Recency
100
--
100
Output Capacity
80
+60
20
Overall Result
1 wins
of 6
2 wins
Muse Spark 1.1 wins 2 of 6 signals

Score History

Score History (4 data points)
Gemini 3.6 FlashMuse Spark 1.1
Gemini 3.6 Flash

80

current score

Leader

Muse Spark 1.1

right now

Muse Spark 1.1

80.2

current score

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

Gemini 3.6 Flash

Google

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

Muse Spark 1.1

meta

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

Muse Spark 1.1 saves you $187.50/month

That's $2250.00/year compared to Gemini 3.6 Flash at your current usage level of 100K calls/month.

36% cheaper
Choose Muse Spark 1.1 for cost optimization

Gemini 3.6 Flash pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
Muse Spark 1.1 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Gemini 3.6 Flash

Google

80

Composite Score

Winner
Muse Spark 1.1

meta

80

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.6 FlashMuse Spark 1.1Winner
Overall Score
80
80
Muse Spark 1.1
Rank#87#86
Muse Spark 1.1
Quality Rank#87#86
Muse Spark 1.1
Adoption Rank#87#86
Muse Spark 1.1
Parameters------
Context Window1049K1049K--
Pricing$1.50/$7.50/M$1.25/$4.25/M--
Signal Scores
Capabilities
100
100
Gemini 3.6 Flash
Benchmarks
78
78
Muse Spark 1.1
Pricing
93
96
Muse Spark 1.1
Context window size
96
96
Gemini 3.6 Flash
Recency
100
100
Gemini 3.6 Flash
Output Capacity
80
20
Gemini 3.6 Flash
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.6: 0Muse Spark: 1
Gemini 3.6
Muse Spark
Normalized 0-100%
Arena Elo
14851487
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.

Gemini 3.6 FlashStrong Performer

Scores 80/100 (rank #87), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.1Strong Performer

Scores 80/100 (rank #86), placing it in the top 71% 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 Gemini 3.6 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Muse Spark 1.1 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.6 Flash
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.113
Est. monthly (1M tokens/day)$135.00
Muse Spark 1.1Best Value
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$82.50

Muse Spark 1.1 offers 39% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.1 vs $135.00/month with Gemini 3.6 Flash - a $52.50 monthly difference.

Latency & Speed
Gemini 3.6 FlashFaster
Speed score0/100
Muse Spark 1.1
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

Gemini 3.6 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.1 also offers lower per-token costs for high-volume support

Gemini 3.6 Flash

Long document analysis

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

Gemini 3.6 Flash

Batch data extraction

Lower output pricing ($4.25/M) reduces costs when processing thousands of records daily

Muse Spark 1.1

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.1

Image understanding & OCR

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

Gemini 3.6 Flash
Which Should You Choose?
Our recommendation:
Muse Spark 1.1

Gemini 3.6 Flash and Muse Spark 1.1 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • 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
Muse Spark 1.1
Recommended

by meta

  • Choose for Cost - 39% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.6 FlashMuse Spark 1.1
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)

Gemini 3.6 Flash

Google

$11.70
estimated monthly cost

Muse Spark 1.1

meta

Best Value
$7.35
estimated monthly cost

Muse Spark 1.1 saves you $4.35/month

That's 37% cheaper than Gemini 3.6 Flash 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
ParameterGemini 3.6 FlashMuse Spark 1.1
Context Window1.0M1.0M
Max Output Tokens65,536--
Open SourceNoNo
CreatedJul 21, 2026Jul 16, 2026
Last updated: 34m ago

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