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GPT-6 Luna Pro (batch) vs Solar Mini 4

vs
Solar Mini 4

Upstage

40#236
Signal-by-Signal Comparison
SignalGPT-6 Luna Pro (batch)DeltaSolar Mini 4
Capabilities
100
+33
67
Pricing
100
--
100
Context window size
96
+5
91
Recency
100
--
100
Output Capacity
82
0
82
Overall Result
2 wins
of 5
1 wins
GPT-6 Luna Pro (batch) 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 Luna Pro (batch)

vs

40

Solar Mini 4

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

GPT-6 Luna Pro (batch)

OpenAI

Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

Solar Mini 4

Upstage

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

Solar Mini 4 saves you $2.50/month

That's $30.00/year compared to GPT-6 Luna Pro (batch) at your current usage level of 100K calls/month.

14% cheaper
Choose Solar Mini 4 for cost optimization

GPT-6 Luna Pro (batch) pricing:
Input:$0.05/M tokens
Output:$0.25/M tokens
Solar Mini 4 pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
Tie
GPT-6 Luna Pro (batch)

OpenAI

40

Composite Score

Tie
Solar Mini 4

Upstage

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna Pro (batch)Solar Mini 4Winner
Overall Score
40
40
--
Rank#238#236
Solar Mini 4
Quality Rank#238#236
Solar Mini 4
Adoption Rank#238#236
Solar Mini 4
Parameters------
Context Window1050K524K
GPT-6 Luna Pro (batch)
Pricing$0.05/$0.25/M$0.05/$0.20/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna Pro (batch)
Pricing
100
100
GPT-6 Luna Pro (batch)
Context window size
96
91
GPT-6 Luna Pro (batch)
Recency
100
100
GPT-6 Luna Pro (batch)
Output Capacity
82
82
Solar Mini 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 Luna Pro (batch)Entry Level

Scores 40/100 (rank #238), placing it in the top 18% of all 290 models tracked.

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

Scores 40/100 (rank #236), 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 Luna Pro (batch) 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 Mini 4 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-6 Luna Pro (batch)
Input cost$0.05/M tokens
Output cost$0.25/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50
Solar Mini 4Best Value
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$3.75

Solar Mini 4 offers 17% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with Solar Mini 4 vs $4.50/month with GPT-6 Luna Pro (batch) - a $0.75 monthly difference.

Latency & Speed
GPT-6 Luna Pro (batch)Faster
Speed score0/100
Solar Mini 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 Pro (batch)

Customer support chatbot

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

GPT-6 Luna Pro (batch)

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)

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Solar Mini 4

Creative writing & content

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

GPT-6 Luna Pro (batch)

Image understanding & OCR

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

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

GPT-6 Luna Pro (batch) and Solar Mini 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.

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 - 17% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6 Luna Pro (batch)Solar Mini 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 Pro (batch)

OpenAI

$0.3900
estimated monthly cost

Solar Mini 4

Upstage

Best Value
$0.3300
estimated monthly cost

Solar Mini 4 saves you $0.0600/month

That's 15% cheaper than GPT-6 Luna Pro (batch) 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 Pro (batch)Solar Mini 4
Context Window1.1M524K
Max Output Tokens128,000131,072
Open SourceNoNo
CreatedSep 22, 2026Sep 23, 2026
Last updated: 19m ago

相关对比

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