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Gemini 2.5 Pro Preview 06-05 vs Muse Spark 1.3

Signal-by-Signal Comparison
SignalGemini 2.5 Pro Preview 06-05DeltaMuse Spark 1.3
Capabilities
100
--
100
Benchmarks
80
+80
0
Pricing
90
-6
96
Context window size
96
--
96
Recency
47
-53
100
Output Capacity
77
-18
96
Overall Result
1 wins
of 6
3 wins
Muse Spark 1.3 wins 3 of 6 signals

Score History

Score History (32 data points)
Gemini 2.5 Pro Preview 06-05Muse Spark 1.3
Gemini 2.5 Pro Preview 06-05

83.5

current score

Leader

Gemini 2.5 Pro Preview 06-05

right now

Muse Spark 1.3

80.9

current score

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

Gemini 2.5 Pro Preview 06-05

Google

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

Muse Spark 1.3

meta

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

Muse Spark 1.3 saves you $287.50/month

That's $3450.00/year compared to Gemini 2.5 Pro Preview 06-05 at your current usage level of 100K calls/month.

46% cheaper
Choose Muse Spark 1.3 for cost optimization

Gemini 2.5 Pro Preview 06-05 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Muse Spark 1.3 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Winner
Gemini 2.5 Pro Preview 06-05

Google

84

Composite Score

Muse Spark 1.3

meta

81

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Pro Preview 06-05Muse Spark 1.3Winner
Overall Score
84
81
Gemini 2.5 Pro Preview 06-05
Rank#70#83
Gemini 2.5 Pro Preview 06-05
Quality Rank#70#83
Gemini 2.5 Pro Preview 06-05
Adoption Rank#70#83
Gemini 2.5 Pro Preview 06-05
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$1.25/$4.25/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro Preview 06-05
Benchmarks
80
--
Gemini 2.5 Pro Preview 06-05
Pricing
90
96
Muse Spark 1.3
Context window size
96
96
Gemini 2.5 Pro Preview 06-05
Recency
47
100
Muse Spark 1.3
Output Capacity
77
96
Muse Spark 1.3
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 Pro Preview 06-05Strong Performer

Scores 84/100 (rank #70), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.3Strong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-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 2.5 Pro Preview 06-05 when you need:

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

Choose Muse Spark 1.3 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 Preview 06-05
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 1.3Best Value
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50

Muse Spark 1.3 offers 51% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.3 vs $168.75/month with Gemini 2.5 Pro Preview 06-05 - a $86.25 monthly difference.

Latency & Speed
Gemini 2.5 Pro Preview 06-05Faster
Speed score0/100
Muse Spark 1.3
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 Preview 06-05

Customer support chatbot

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

Gemini 2.5 Pro Preview 06-05

Long document analysis

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

Gemini 2.5 Pro Preview 06-05

Batch data extraction

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

Muse Spark 1.3

Creative writing & content

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

Gemini 2.5 Pro Preview 06-05

Image understanding & OCR

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

Gemini 2.5 Pro Preview 06-05
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 and Muse Spark 1.3 are extremely close in overall performance (only 2.5999999999999943 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

by meta

  • Choose for Cost - 51% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 Pro Preview 06-05Muse Spark 1.3
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 Preview 06-05

Google

$14.25
estimated monthly cost

Muse Spark 1.3

meta

Best Value
$7.35
estimated monthly cost

Muse Spark 1.3 saves you $6.90/month

That's 48% cheaper than Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05Muse Spark 1.3
Context Window1.0M1.0M
Max Output Tokens65,536943,718
Open SourceNoNo
CreatedJun 5, 2025Sep 2, 2026
Last updated: 58m ago

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