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GPT-6 Astra Pro vs Muse Spark 1.3 Contributor

Signal-by-Signal Comparison
SignalGPT-6 Astra ProDeltaMuse Spark 1.3 Contributor
Capabilities
100
--
100
Pricing
50
-50
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 1.3 Contributor wins 2 of 5 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

GPT-6 Astra Pro

vs

40

Muse Spark 1.3 Contributor

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

GPT-6 Astra Pro

OpenAI

Per request$0.035000
Daily$116.67
Monthly$3500.00
Annual$42000.00

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 $3480.00/month

That's $41760.00/year compared to GPT-6 Astra Pro at your current usage level of 100K calls/month.

99% cheaper
Choose Muse Spark 1.3 Contributor for cost optimization

GPT-6 Astra Pro pricing:
Input:$10.00/M tokens
Output:$50.00/M tokens
Muse Spark 1.3 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Tie
GPT-6 Astra Pro

OpenAI

40

Composite Score

Tie
Muse Spark 1.3 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Astra ProMuse Spark 1.3 ContributorWinner
Overall Score
40
40
--
Rank#234#237
GPT-6 Astra Pro
Quality Rank#234#237
GPT-6 Astra Pro
Adoption Rank#234#237
GPT-6 Astra Pro
Parameters------
Context Window1050K1049K
GPT-6 Astra Pro
Pricing$10.00/$50.00/M$0.10/$0.20/M--
Signal Scores
Capabilities
100
100
GPT-6 Astra Pro
Pricing
50
100
Muse Spark 1.3 Contributor
Context window size
96
96
GPT-6 Astra Pro
Recency
100
100
GPT-6 Astra Pro
Output Capacity
82
96
Muse Spark 1.3 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-6 Astra ProEntry 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
Muse Spark 1.3 ContributorEntry Level

Scores 40/100 (rank #237), placing it in the top 19% 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-6 Astra Pro 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
GPT-6 Astra Pro
Input cost$10.00/M tokens
Output cost$50.00/M tokens
Cost per quality point$1.500
Est. monthly (1M tokens/day)$900.00
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 100% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.3 Contributor vs $900.00/month with GPT-6 Astra Pro - a $895.50 monthly difference.

Latency & Speed
GPT-6 Astra ProFaster
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

GPT-6 Astra Pro

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

GPT-6 Astra Pro

Long document analysis

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

GPT-6 Astra Pro

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

GPT-6 Astra Pro

Image understanding & OCR

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

GPT-6 Astra Pro
Which Should You Choose?
Our recommendation:
GPT-6 Astra Pro

GPT-6 Astra Pro and Muse Spark 1.3 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-6 Astra Pro
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 - 100% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6 Astra ProMuse 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)

GPT-6 Astra Pro

OpenAI

$78.00
estimated monthly cost

Muse Spark 1.3 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.3 Contributor saves you $77.58/month

That's 99% cheaper than GPT-6 Astra 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
ParameterGPT-6 Astra ProMuse Spark 1.3 Contributor
Context Window1.1M1.0M
Max Output Tokens128,000943,718
Open SourceNoNo
CreatedSep 4, 2026Sep 2, 2026
Last updated: 25m ago

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