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Claude Sonnet 4.6 vs GPT-5.6 Luna Pro (batch)

Signal-by-Signal Comparison
SignalClaude Sonnet 4.6DeltaGPT-5.6 Luna Pro (batch)
Capabilities
100
--
100
Benchmarks
82
-5
88
Pricing
85
-14
99
Context window size
95
0
96
Recency
100
--
100
Output Capacity
85
--
85
Overall Result
0 wins
of 6
3 wins
GPT-5.6 Luna Pro (batch) wins 3 of 6 signals

Score History

Score History (25 data points)
Claude Sonnet 4.6GPT-5.6 Luna Pro (batch)
Claude Sonnet 4.6

85.2

current score

Leader

GPT-5.6 Luna Pro (batch)

right now

GPT-5.6 Luna Pro (batch)

89

current score

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

Claude Sonnet 4.6

Anthropic

Per request$0.010500
Daily$35.00
Monthly$1050.00
Annual$12600.00

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

GPT-5.6 Luna Pro (batch) saves you $1010.00/month

That's $12120.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.

96% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

Claude Sonnet 4.6 pricing:
Input:$3.00/M tokens
Output:$15.00/M tokens
GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Claude Sonnet 4.6

Anthropic

85

Composite Score

Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.6GPT-5.6 Luna Pro (batch)Winner
Overall Score
85
89
GPT-5.6 Luna Pro (batch)
Rank#66#33
GPT-5.6 Luna Pro (batch)
Quality Rank#66#33
GPT-5.6 Luna Pro (batch)
Adoption Rank#66#33
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window1000K1050K
GPT-5.6 Luna Pro (batch)
Pricing$3.00/$15.00/M$0.10/$0.60/M--
Signal Scores
Capabilities
100
100
Claude Sonnet 4.6
Benchmarks
82
88
GPT-5.6 Luna Pro (batch)
Pricing
85
99
GPT-5.6 Luna Pro (batch)
Context window size
95
96
GPT-5.6 Luna Pro (batch)
Recency
100
100
Claude Sonnet 4.6
Output Capacity
85
85
Claude Sonnet 4.6
Benchmark Head-to-Head(13 benchmarks)
Claude Sonnet: 1GPT-5.6 Luna: 10
Claude Sonnet
GPT-5.6 Luna
Normalized 0-100%
MMLU
91.2%93%
MMLU-Pro
79%84.5%
GPQA Diamond
82%85%
MATH-500
85.3%92.5%
HumanEval
95.2%96.5%
SWE-bench Verified
79.6%75%
AIME 2024
65%-
IFEval
91%92%
BBH
89.8%90.5%
Arena Elo
14601465
LiveBench
73.2%76%
HLE
30.5%35%
BigCodeBench
68.4%-
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.

Claude Sonnet 4.6Elite Tier

Scores 85/100 (rank #66), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 Luna Pro (batch)Elite Tier

Scores 89/100 (rank #33), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 4-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 Claude Sonnet 4.6 when you need:

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

Choose GPT-5.6 Luna Pro (batch) 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 Sonnet 4.6
Input cost$3.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.211
Est. monthly (1M tokens/day)$270.00
GPT-5.6 Luna Pro (batch)Best Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50

GPT-5.6 Luna Pro (batch) offers 96% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $270.00/month with Claude Sonnet 4.6 - a $259.50 monthly difference.

Latency & Speed
Claude Sonnet 4.6Faster
Speed score0/100
GPT-5.6 Luna Pro (batch)
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 Sonnet 4.6

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna Pro (batch) also offers lower per-token costs for high-volume support

Claude Sonnet 4.6

Long document analysis

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

GPT-5.6 Luna Pro (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna Pro (batch)

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna Pro (batch)

Image understanding & OCR

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

Claude Sonnet 4.6
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro (batch) has a moderate advantage with a 3.799999999999997-point lead in composite score. It wins on more signal dimensions, but Claude Sonnet 4.6 has specific strengths that could make it the better choice for certain workflows.

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 - 96% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 4.6GPT-5.6 Luna Pro (batch)
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 Sonnet 4.6

Anthropic

$23.40
estimated monthly cost

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $22.50/month

That's 96% cheaper than Claude Sonnet 4.6 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 Sonnet 4.6GPT-5.6 Luna Pro (batch)
Context Window1M1.1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedFeb 17, 2026Jul 9, 2026
Last updated: 35m ago

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