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GPT Luna Latest vs Muse Spark 1.2 Contributor

Signal-by-Signal Comparison
SignalGPT Luna LatestDeltaMuse Spark 1.2 Contributor
Capabilities
100
--
100
Pricing
99
-1
100
Context window size
96
+0
96
Recency
100
--
100
Output Capacity
82
-14
96
Overall Result
1 wins
of 5
2 wins
Muse Spark 1.2 Contributor wins 2 of 5 signals

Score History

Score History (4 data points)
GPT Luna LatestMuse Spark 1.2 Contributor
GPT Luna Latest

40

current score

Leader

Tied

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)

GPT Luna Latest

~openai

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

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 $60.00/month

That's $720.00/year compared to GPT Luna Latest at your current usage level of 100K calls/month.

75% cheaper
Choose Muse Spark 1.2 Contributor for cost optimization

GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Tie
GPT Luna Latest

~openai

40

Composite Score

Tie
Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricGPT Luna LatestMuse Spark 1.2 ContributorWinner
Overall Score
40
40
--
Rank#243#256
GPT Luna Latest
Quality Rank#243#256
GPT Luna Latest
Adoption Rank#243#256
GPT Luna Latest
Parameters------
Context Window1050K1049K
GPT Luna Latest
Pricing$0.20/$1.20/M$0.10/$0.20/M--
Signal Scores
Capabilities
100
100
GPT Luna Latest
Pricing
99
100
Muse Spark 1.2 Contributor
Context window size
96
96
GPT Luna Latest
Recency
100
100
GPT Luna Latest
Output Capacity
82
96
Muse Spark 1.2 Contributor
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.

GPT Luna LatestEntry Level

Scores 40/100 (rank #243), placing it in the top 17% of all 290 models tracked.

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

Scores 40/100 (rank #256), placing it in the top 12% 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 GPT Luna Latest 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
GPT Luna Latest
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$21.00
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 79% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $21.00/month with GPT Luna Latest - a $16.50 monthly difference.

Latency & Speed
GPT Luna LatestFaster
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

GPT Luna Latest

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

GPT Luna Latest

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT Luna Latest

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 (40/100) correlates with better nuance, coherence, and style in long-form content

GPT Luna Latest

Image understanding & OCR

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

GPT Luna Latest
Which Should You Choose?
Our recommendation:
GPT Luna Latest

GPT Luna Latest and Muse Spark 1.2 Contributor are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT Luna Latest
Recommended

by ~openai

  • 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 - 79% lower pricing; better value at scale
Capability Comparison
CapabilityGPT Luna LatestMuse 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)

GPT Luna Latest

~openai

$1.80
estimated monthly cost

Muse Spark 1.2 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.2 Contributor saves you $1.38/month

That's 77% cheaper than GPT Luna Latest 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
ParameterGPT Luna LatestMuse Spark 1.2 Contributor
Context Window1.1M1.0M
Max Output Tokens128,000943,718
Open SourceNoNo
CreatedSep 11, 2026Aug 21, 2026
Last updated: 55m ago

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GPT Luna Latest vs Muse Spark 1.2 Contributor (2026) | LM Market Cap