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Gemini 2.5 Pro vs Muse Spark 1.2 Contributor

Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaMuse Spark 1.2 Contributor
Capabilities
100
--
100
Benchmarks
80
+80
0
Pricing
90
-10
100
Context window size
96
--
96
Recency
49
-51
100
Output Capacity
77
-18
96
Overall Result
1 wins
of 6
3 wins
Muse Spark 1.2 Contributor wins 3 of 6 signals

Score History

Score History (32 data points)
Gemini 2.5 ProMuse Spark 1.2 Contributor
Gemini 2.5 Pro

83.5

current score

Leader

Gemini 2.5 Pro

right now

Muse Spark 1.2 Contributor

40

current score

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

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

Muse Spark 1.2 Contributor

meta

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

Muse Spark 1.2 Contributor saves you $605.00/month

That's $7260.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

97% cheaper
Choose Muse Spark 1.2 Contributor for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Winner
Gemini 2.5 Pro

Google

84

Composite Score

Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProMuse Spark 1.2 ContributorWinner
Overall Score
84
40
Gemini 2.5 Pro
Rank#67#257
Gemini 2.5 Pro
Quality Rank#67#257
Gemini 2.5 Pro
Adoption Rank#67#257
Gemini 2.5 Pro
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$0.10/$0.20/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro
Benchmarks
80
--
Gemini 2.5 Pro
Pricing
90
100
Muse Spark 1.2 Contributor
Context window size
96
96
Gemini 2.5 Pro
Recency
49
100
Muse Spark 1.2 Contributor
Output Capacity
77
96
Muse Spark 1.2 Contributor
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 0Muse Spark: 0
Gemini 2.5
Muse Spark
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
86%-
GPQA Diamond
84%-
MATH-500
95.2%-
SWE-bench Verified
63.8%-
AIME 2024
92%-
IFEval
87.2%-
BBH
88%-
Arena Elo
1444-
LiveBench
75.6%-
HLE
35.2%-
BigCodeBench
29.7%-
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 2.5 ProStrong Performer

Scores 84/100 (rank #67), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.2 ContributorEntry Level

Scores 40/100 (rank #257), placing it in the top 12% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 44-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 2.5 Pro when you need:

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

Choose Muse Spark 1.2 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 2.5 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
Muse Spark 1.2 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 1.2 Contributor offers 97% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $168.75/month with Gemini 2.5 Pro - a $164.25 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
Muse Spark 1.2 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 2.5 Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.2 Contributor also offers lower per-token costs for high-volume support

Gemini 2.5 Pro

Long document analysis

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

Gemini 2.5 Pro

Batch data extraction

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

Muse Spark 1.2 Contributor

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro clearly outperforms Muse Spark 1.2 Contributor with a significant 43.5-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Muse Spark 1.2 Contributor may still excel in niche scenarios.

Gemini 2.5 Pro
Recommended

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 - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProMuse Spark 1.2 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 2.5 Pro

Google

$14.25
estimated monthly cost

Muse Spark 1.2 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.2 Contributor saves you $13.83/month

That's 97% cheaper than Gemini 2.5 Pro 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 2.5 ProMuse Spark 1.2 Contributor
Context Window1.0M1.0M
Max Output Tokens65,536943,718
Open SourceNoNo
CreatedJun 17, 2025Aug 21, 2026
Last updated: 20m ago

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