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Claude Opus 4.7 vs GPT-6 Luna

Claude Opus 4.7

Anthropic

95#8
vs
GPT-6 Luna

OpenAI

40#237
Signal-by-Signal Comparison
SignalClaude Opus 4.7DeltaGPT-6 Luna
Capabilities
100
--
100
Benchmarks
93
+93
0
Pricing
75
-24
100
Context window size
95
0
96
Recency
100
--
100
Output Capacity
82
--
82
Overall Result
1 wins
of 6
2 wins
GPT-6 Luna wins 2 of 6 signals

Score History

Score History (24 data points)
Claude Opus 4.7GPT-6 Luna
Claude Opus 4.7

95.1

current score

Leader

Claude Opus 4.7

right now

GPT-6 Luna

40

current score

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

Claude Opus 4.7

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

GPT-6 Luna

OpenAI

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

GPT-6 Luna saves you $1715.00/month

That's $20580.00/year compared to Claude Opus 4.7 at your current usage level of 100K calls/month.

98% cheaper
Choose GPT-6 Luna for cost optimization

Claude Opus 4.7 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-6 Luna pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Winner
Claude Opus 4.7

Anthropic

95

Composite Score

GPT-6 Luna

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.7GPT-6 LunaWinner
Overall Score
95
40
Claude Opus 4.7
Rank#8#237
Claude Opus 4.7
Quality Rank#8#237
Claude Opus 4.7
Adoption Rank#8#237
Claude Opus 4.7
Parameters------
Context Window1000K1050K
GPT-6 Luna
Pricing$5.00/$25.00/M$0.10/$0.50/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.7
Benchmarks
93
--
Claude Opus 4.7
Pricing
75
100
GPT-6 Luna
Context window size
95
96
GPT-6 Luna
Recency
100
100
Claude Opus 4.7
Output Capacity
82
82
Claude Opus 4.7
Benchmark Head-to-Head(4 benchmarks)
Claude Opus: 0GPT-6 Luna: 0
Claude Opus
GPT-6 Luna
Normalized 0-100%
GPQA Diamond
94.2%-
SWE-bench Verified
87.6%-
Arena Elo
1491-
HLE
46.9%-
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.

Claude Opus 4.7Elite Tier

Scores 95/100 (rank #8), placing it in the top 98% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6 LunaEntry 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

Claude Opus 4.7 has a 55-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.7 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-6 Luna 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
Claude Opus 4.7
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.315
Est. monthly (1M tokens/day)$450.00
GPT-6 LunaBest 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

GPT-6 Luna offers 98% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with GPT-6 Luna vs $450.00/month with Claude Opus 4.7 - a $441.00 monthly difference.

Latency & Speed
Claude Opus 4.7Faster
Speed score0/100
GPT-6 Luna
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

Claude Opus 4.7

Customer support chatbot

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

Claude Opus 4.7

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

GPT-6 Luna

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.7

Image understanding & OCR

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

Claude Opus 4.7
Which Should You Choose?
Our recommendation:
Claude Opus 4.7

Claude Opus 4.7 clearly outperforms GPT-6 Luna with a significant 55.099999999999994-point lead. For most general use cases, Claude Opus 4.7 is the stronger choice. However, GPT-6 Luna may still excel in niche scenarios.

Claude Opus 4.7
Recommended

by Anthropic

  • 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 OpenAI

  • Choose for Cost - 98% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.7GPT-6 Luna
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)

Claude Opus 4.7

Anthropic

$39.00
estimated monthly cost

GPT-6 Luna

OpenAI

Best Value
$0.7800
estimated monthly cost

GPT-6 Luna saves you $38.22/month

That's 98% cheaper than Claude Opus 4.7 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
ParameterClaude Opus 4.7GPT-6 Luna
Context Window1M1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedApr 16, 2026Sep 22, 2026
Last updated: 49m ago

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