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GPT-6 Luna Pro (batch) vs R1 0528

vs
R1 0528

DeepSeek

79#84
Signal-by-Signal Comparison
SignalGPT-6 Luna Pro (batch)DeltaR1 0528
Capabilities
100
+33
67
Pricing
100
+2
98
Context window size
96
+13
83
Recency
100
+63
37
Output Capacity
82
+9
72
Benchmarks
0
-81
81
Overall Result
5 wins
of 6
1 wins
GPT-6 Luna Pro (batch) wins 5 of 6 signals

Score History

Score History (38 data points)
GPT-6 Luna Pro (batch)R1 0528
GPT-6 Luna Pro (batch)

40

current score

Leader

R1 0528

right now

R1 0528

79.4

current score

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

GPT-6 Luna Pro (batch)

OpenAI

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

R1 0528

DeepSeek

Per request$0.001575
Daily$5.25
Monthly$157.50
Annual$1890.00

GPT-6 Luna Pro (batch) saves you $140.00/month

That's $1680.00/year compared to R1 0528 at your current usage level of 100K calls/month.

89% cheaper
Choose GPT-6 Luna Pro (batch) for cost optimization

GPT-6 Luna Pro (batch) pricing:
Input:$0.05/M tokens
Output:$0.25/M tokens
R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
GPT-6 Luna Pro (batch)

OpenAI

40

Composite Score

Winner
R1 0528

DeepSeek

79

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna Pro (batch)R1 0528Winner
Overall Score
40
79
R1 0528
Rank#222#84
R1 0528
Quality Rank#222#84
R1 0528
Adoption Rank#222#84
R1 0528
Parameters------
Context Window1050K164K
GPT-6 Luna Pro (batch)
Pricing$0.05/$0.25/M$0.50/$2.15/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna Pro (batch)
Pricing
100
98
GPT-6 Luna Pro (batch)
Context window size
96
83
GPT-6 Luna Pro (batch)
Recency
100
37
GPT-6 Luna Pro (batch)
Output Capacity
82
72
GPT-6 Luna Pro (batch)
Benchmarks--
81
R1 0528
Benchmark Head-to-Head(10 benchmarks)
GPT-6 Luna: 0R1 0528: 0
GPT-6 Luna
R1 0528
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.4%
GPQA Diamond
-76%
MATH-500
-97.8%
SWE-bench Verified
-57.6%
AIME 2024
-84%
IFEval
-85.5%
BBH
-86.5%
Arena Elo
-1380
LiveBench
-69.5%
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 #222), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
R1 0528Strong Performer

Scores 79/100 (rank #84), placing it in the top 71% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

R1 0528 has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-6 Luna Pro (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • 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 R1 0528 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-6 Luna Pro (batch)Best Value
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
R1 0528
Input cost$0.50/M tokens
Output cost$2.15/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$39.75

GPT-6 Luna Pro (batch) offers 89% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna Pro (batch) vs $39.75/month with R1 0528 - a $35.25 monthly difference.

Latency & Speed
GPT-6 Luna Pro (batch)Faster
Speed score0/100
R1 0528
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. GPT-6 Luna Pro (batch) 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 ($0.25/M) reduces costs when processing thousands of records daily

GPT-6 Luna Pro (batch)

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

R1 0528

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:
R1 0528

R1 0528 clearly outperforms GPT-6 Luna Pro (batch) with a significant 39.400000000000006-point lead. For most general use cases, R1 0528 is the stronger choice. However, GPT-6 Luna Pro (batch) may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 89% 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
R1 0528
Recommended

by DeepSeek

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-6 Luna Pro (batch)R1 0528
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

Best Value
$0.3900
estimated monthly cost

R1 0528

DeepSeek

$3.48
estimated monthly cost

GPT-6 Luna Pro (batch) saves you $3.09/month

That's 89% cheaper than R1 0528 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)R1 0528
Context Window1.1M164K
Max Output Tokens128,00032,768
Open SourceNoYes
CreatedSep 22, 2026May 28, 2025
Last updated: 54m ago

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GPT-6 Luna Pro (batch) vs R1 0528 (2026) | LM Market Cap