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GPT-6 Luna vs Solar Pro 4

GPT-6 Luna

OpenAI

40#245
vs
Solar Pro 4

Upstage

40#294
Signal-by-Signal Comparison
SignalGPT-6 LunaDeltaSolar Pro 4
Capabilities
100
+33
67
Pricing
100
0
100
Context window size
96
+5
91
Recency
100
--
100
Output Capacity
82
0
82
Overall Result
2 wins
of 5
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (7 data points)
GPT-6 LunaSolar Pro 4
GPT-6 Luna

40

current score

Leader

Tied

right now

Solar Pro 4

40

current score

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

GPT-6 Luna

OpenAI

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

Solar Pro 4

Upstage

Best Value
Per request$0.000270
Daily$0.90
Monthly$27.00
Annual$324.00

Solar Pro 4 saves you $8.00/month

That's $96.00/year compared to GPT-6 Luna at your current usage level of 100K calls/month.

23% cheaper
Choose Solar Pro 4 for cost optimization

GPT-6 Luna pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Solar Pro 4 pricing:
Input:$0.09/M tokens
Output:$0.36/M tokens
Tie
GPT-6 Luna

OpenAI

40

Composite Score

Tie
Solar Pro 4

Upstage

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 LunaSolar Pro 4Winner
Overall Score
40
40
--
Rank#245#294
GPT-6 Luna
Quality Rank#245#294
GPT-6 Luna
Adoption Rank#245#294
GPT-6 Luna
Parameters------
Context Window1050K524K
GPT-6 Luna
Pricing$0.10/$0.50/M$0.09/$0.36/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna
Pricing
100
100
Solar Pro 4
Context window size
96
91
GPT-6 Luna
Recency
100
100
GPT-6 Luna
Output Capacity
82
82
Solar Pro 4
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 LunaEntry Level

Scores 40/100 (rank #245), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Solar Pro 4Entry Level

Scores 40/100 (rank #294), placing it in the top -1% 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 when you need:

  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Solar Pro 4 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-6 Luna
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
Solar Pro 4Best Value
Input cost$0.09/M tokens
Output cost$0.36/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$6.75

Solar Pro 4 offers 25% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with Solar Pro 4 vs $9.00/month with GPT-6 Luna - a $2.25 monthly difference.

Latency & Speed
GPT-6 LunaFaster
Speed score0/100
Solar Pro 4
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. Solar Pro 4 also offers lower per-token costs for high-volume support

GPT-6 Luna

Long document analysis

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

GPT-6 Luna

Batch data extraction

Lower output pricing ($0.36/M) reduces costs when processing thousands of records daily

Solar Pro 4

Creative writing & content

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

GPT-6 Luna

Image understanding & OCR

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

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

GPT-6 Luna and Solar Pro 4 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
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 Upstage

  • Choose for Cost - 25% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6 LunaSolar Pro 4
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)

GPT-6 Luna

OpenAI

$0.7800
estimated monthly cost

Solar Pro 4

Upstage

Best Value
$0.5940
estimated monthly cost

Solar Pro 4 saves you $0.1860/month

That's 24% cheaper than GPT-6 Luna 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 LunaSolar Pro 4
Context Window1.1M524K
Max Output Tokens128,000131,072
Open SourceNoNo
CreatedSep 22, 2026Aug 10, 2026
Last updated: 40m ago

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GPT-6 Luna vs Solar Pro 4 (2026) | LM Market Cap