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Gemini 3.1 Pro Preview vs Muse Spark 1.3 Contributor

Signal-by-Signal Comparison
SignalGemini 3.1 Pro PreviewDeltaMuse Spark 1.3 Contributor
Capabilities
100
--
100
Benchmarks
92
+92
0
Pricing
88
-12
100
Context window size
96
--
96
Recency
94
-6
100
Output Capacity
77
-18
96
Overall Result
1 wins
of 6
3 wins
Muse Spark 1.3 Contributor wins 3 of 6 signals

Score History

Score History (32 data points)
Gemini 3.1 Pro PreviewMuse Spark 1.3 Contributor
Gemini 3.1 Pro Preview

92.2

current score

Leader

Gemini 3.1 Pro Preview

right now

Muse Spark 1.3 Contributor

40

current score

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

Gemini 3.1 Pro Preview

Google

Per request$0.008000
Daily$26.67
Monthly$800.00
Annual$9600.00

Muse Spark 1.3 Contributor

meta

Best Value
Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

Muse Spark 1.3 Contributor saves you $780.00/month

That's $9360.00/year compared to Gemini 3.1 Pro Preview at your current usage level of 100K calls/month.

98% cheaper
Choose Muse Spark 1.3 Contributor for cost optimization

Gemini 3.1 Pro Preview pricing:
Input:$2.00/M tokens
Output:$12.00/M tokens
Muse Spark 1.3 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Winner
Gemini 3.1 Pro Preview

Google

92

Composite Score

Muse Spark 1.3 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.1 Pro PreviewMuse Spark 1.3 ContributorWinner
Overall Score
92
40
Gemini 3.1 Pro Preview
Rank#15#251
Gemini 3.1 Pro Preview
Quality Rank#15#251
Gemini 3.1 Pro Preview
Adoption Rank#15#251
Gemini 3.1 Pro Preview
Parameters------
Context Window1049K1049K--
Pricing$2.00/$12.00/M$0.10/$0.20/M--
Signal Scores
Capabilities
100
100
Gemini 3.1 Pro Preview
Benchmarks
92
--
Gemini 3.1 Pro Preview
Pricing
88
100
Muse Spark 1.3 Contributor
Context window size
96
96
Gemini 3.1 Pro Preview
Recency
94
100
Muse Spark 1.3 Contributor
Output Capacity
77
96
Muse Spark 1.3 Contributor
Benchmark Head-to-Head(5 benchmarks)
Gemini 3.1: 0Muse Spark: 0
Gemini 3.1
Muse Spark
Normalized 0-100%
MMLU
92.6%-
MMLU-Pro
91.2%-
GPQA Diamond
94.3%-
SWE-bench Verified
80.6%-
Arena Elo
1494-
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 3.1 Pro PreviewElite Tier

Scores 92/100 (rank #15), placing it in the top 95% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.3 ContributorEntry Level

Scores 40/100 (rank #251), placing it in the top 14% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.1 Pro Preview has a 52-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.1 Pro Preview when you need:

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

Choose Muse Spark 1.3 Contributor 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 3.1 Pro Preview
Input cost$2.00/M tokens
Output cost$12.00/M tokens
Cost per quality point$0.152
Est. monthly (1M tokens/day)$210.00
Muse Spark 1.3 ContributorBest Value
Input cost$0.10/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Muse Spark 1.3 Contributor offers 98% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.3 Contributor vs $210.00/month with Gemini 3.1 Pro Preview - a $205.50 monthly difference.

Latency & Speed
Gemini 3.1 Pro PreviewFaster
Speed score0/100
Muse Spark 1.3 Contributor
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 3.1 Pro Preview

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.3 Contributor also offers lower per-token costs for high-volume support

Gemini 3.1 Pro Preview

Long document analysis

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

Gemini 3.1 Pro Preview

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Muse Spark 1.3 Contributor

Creative writing & content

Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.1 Pro Preview

Image understanding & OCR

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

Gemini 3.1 Pro Preview
Which Should You Choose?
Our recommendation:
Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview clearly outperforms Muse Spark 1.3 Contributor with a significant 52.2-point lead. For most general use cases, Gemini 3.1 Pro Preview is the stronger choice. However, Muse Spark 1.3 Contributor may still excel in niche scenarios.

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

by meta

  • Choose for Cost - 98% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.1 Pro PreviewMuse Spark 1.3 Contributor
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 3.1 Pro Preview

Google

$18.00
estimated monthly cost

Muse Spark 1.3 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.3 Contributor saves you $17.58/month

That's 98% cheaper than Gemini 3.1 Pro Preview 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 3.1 Pro PreviewMuse Spark 1.3 Contributor
Context Window1.0M1.0M
Max Output Tokens65,536943,718
Open SourceNoNo
CreatedFeb 19, 2026Sep 2, 2026
Last updated: 20m ago

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