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GPT-6 Luna Pro vs Sonar Reasoning Pro

GPT-6 Luna Pro

OpenAI

40#235
vs
Sonar Reasoning Pro

Perplexity

40#397
Signal-by-Signal Comparison
SignalGPT-6 Luna ProDeltaSonar Reasoning Pro
Capabilities
100
+33
67
Pricing
100
+8
92
Context window size
96
+15
81
Recency
100
+70
30
Output Capacity
82
+1
81
Overall Result
5 wins
of 5
0 wins
GPT-6 Luna Pro wins 5 of 5 signals

Score History

Score History (32 data points)
GPT-6 Luna ProSonar Reasoning Pro
GPT-6 Luna Pro

40

current score

Leader

Tied

right now

Sonar Reasoning Pro

40

current score

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

GPT-6 Luna Pro

OpenAI

Best Value
Per request$0.000350
Daily$1.17
Monthly$35.00
Annual$420.00

Sonar Reasoning Pro

Perplexity

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

GPT-6 Luna Pro saves you $565.00/month

That's $6780.00/year compared to Sonar Reasoning Pro at your current usage level of 100K calls/month.

94% cheaper
Choose GPT-6 Luna Pro for cost optimization

GPT-6 Luna Pro pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Sonar Reasoning Pro pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Tie
GPT-6 Luna Pro

OpenAI

40

Composite Score

Tie
Sonar Reasoning Pro

Perplexity

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna ProSonar Reasoning ProWinner
Overall Score
40
40
--
Rank#235#397
GPT-6 Luna Pro
Quality Rank#235#397
GPT-6 Luna Pro
Adoption Rank#235#397
GPT-6 Luna Pro
Parameters------
Context Window1050K128K
GPT-6 Luna Pro
Pricing$0.10/$0.50/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna Pro
Pricing
100
92
GPT-6 Luna Pro
Context window size
96
81
GPT-6 Luna Pro
Recency
100
30
GPT-6 Luna Pro
Output Capacity
82
81
GPT-6 Luna Pro
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 Luna ProEntry Level

Scores 40/100 (rank #235), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Sonar Reasoning ProEntry Level

Scores 40/100 (rank #397), placing it in the top -37% 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 Luna Pro when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Sonar Reasoning Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-6 Luna ProBest Value
Input cost$0.10/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$9.00
Sonar Reasoning Pro
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.250
Est. monthly (1M tokens/day)$150.00

GPT-6 Luna Pro offers 94% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with GPT-6 Luna Pro vs $150.00/month with Sonar Reasoning Pro - a $141.00 monthly difference.

Latency & Speed
GPT-6 Luna ProFaster
Speed score0/100
Sonar Reasoning Pro
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 Luna Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6 Luna Pro also offers lower per-token costs for high-volume support

GPT-6 Luna Pro

Long document analysis

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

GPT-6 Luna Pro

Batch data extraction

Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily

GPT-6 Luna Pro

Creative writing & content

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

GPT-6 Luna Pro

Image understanding & OCR

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

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

GPT-6 Luna Pro and Sonar Reasoning Pro 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 Luna Pro
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 94% 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 Perplexity

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-6 Luna ProSonar Reasoning Pro
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-6 Luna Pro

OpenAI

Best Value
$0.7800
estimated monthly cost

Sonar Reasoning Pro

Perplexity

$13.20
estimated monthly cost

GPT-6 Luna Pro saves you $12.42/month

That's 94% cheaper than Sonar Reasoning 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 Luna ProSonar Reasoning Pro
Context Window1.1M128K
Max Output Tokens128,000115,200
Open SourceNoNo
CreatedSep 22, 2026Mar 7, 2025
Last updated: 45m ago

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