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Mercury 2.5 Preview vs Muse Spark 1.2 Contributor

Signal-by-Signal Comparison
SignalMercury 2.5 PreviewDeltaMuse Spark 1.2 Contributor
Capabilities
67
-33
100
Benchmarks
60
+60
0
Pricing
100
+0
100
Context window size
86
-10
96
Recency
100
--
100
Output Capacity
77
-18
96
Overall Result
2 wins
of 6
3 wins
Muse Spark 1.2 Contributor wins 3 of 6 signals

Score History

Score History (3 data points)
Mercury 2.5 PreviewMuse Spark 1.2 Contributor
Mercury 2.5 Preview

61.2

current score

Leader

Mercury 2.5 Preview

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)

Mercury 2.5 Preview

Inception

Best Value
Per request$0.000115
Daily$0.38
Monthly$11.50
Annual$138.00

Muse Spark 1.2 Contributor

meta

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

Mercury 2.5 Preview saves you $8.50/month

That's $102.00/year compared to Muse Spark 1.2 Contributor at your current usage level of 100K calls/month.

43% cheaper
Choose Mercury 2.5 Preview for cost optimization

Mercury 2.5 Preview pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Winner
Mercury 2.5 Preview

Inception

61

Composite Score

Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricMercury 2.5 PreviewMuse Spark 1.2 ContributorWinner
Overall Score
61
40
Mercury 2.5 Preview
Rank#208#234
Mercury 2.5 Preview
Quality Rank#208#234
Mercury 2.5 Preview
Adoption Rank#208#234
Mercury 2.5 Preview
Parameters------
Context Window260K1049K
Muse Spark 1.2 Contributor
Pricing$0.04/$0.15/M$0.10/$0.20/M--
Signal Scores
Capabilities
67
100
Muse Spark 1.2 Contributor
Benchmarks
60
--
Mercury 2.5 Preview
Pricing
100
100
Mercury 2.5 Preview
Context window size
86
96
Muse Spark 1.2 Contributor
Recency
100
100
Mercury 2.5 Preview
Output Capacity
77
96
Muse Spark 1.2 Contributor
Benchmark Head-to-Head(1 benchmarks)
Mercury 2.5: 0Muse Spark: 0
Mercury 2.5
Muse Spark
Normalized 0-100%
Arena Elo
1346-
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.

Mercury 2.5 PreviewCompetitive

Scores 61/100 (rank #208), placing it in the top 29% of all 290 models tracked.

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

Scores 40/100 (rank #234), placing it in the top 20% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Mercury 2.5 Preview has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Mercury 2.5 Preview when you need:

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

Choose Muse Spark 1.2 Contributor when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Mercury 2.5 PreviewBest Value
Input cost$0.04/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$2.85
Muse Spark 1.2 Contributor
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

Mercury 2.5 Preview offers 37% better value per quality point. At 1M tokens/day, you'd spend $2.85/month with Mercury 2.5 Preview vs $4.50/month with Muse Spark 1.2 Contributor - a $1.65 monthly difference.

Latency & Speed
Mercury 2.5 PreviewFaster
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

Mercury 2.5 Preview

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mercury 2.5 Preview also offers lower per-token costs for high-volume support

Mercury 2.5 Preview

Long document analysis

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

Muse Spark 1.2 Contributor

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Mercury 2.5 Preview

Creative writing & content

Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content

Mercury 2.5 Preview

Image understanding & OCR

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

Muse Spark 1.2 Contributor
Which Should You Choose?
Our recommendation:
Mercury 2.5 Preview

Mercury 2.5 Preview clearly outperforms Muse Spark 1.2 Contributor with a significant 21.200000000000003-point lead. For most general use cases, Mercury 2.5 Preview is the stronger choice. However, Muse Spark 1.2 Contributor may still excel in niche scenarios.

by Inception

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 37% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityMercury 2.5 PreviewMuse Spark 1.2 Contributor
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mercury 2.5 Preview

Inception

Best Value
$0.2520
estimated monthly cost

Muse Spark 1.2 Contributor

meta

$0.4200
estimated monthly cost

Mercury 2.5 Preview saves you $0.1680/month

That's 40% cheaper than Muse Spark 1.2 Contributor 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
ParameterMercury 2.5 PreviewMuse Spark 1.2 Contributor
Context Window260K1.0M
Max Output Tokens65,536943,718
Open SourceNoNo
CreatedAug 31, 2026Aug 21, 2026
Last updated: 44m ago

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