CompareLLM
CompareLLM.ai
Live
Explore
Compare
Decide
Track
Learn
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. Claude Sonnet 4.5 vs OpenAI: GPT-5.6 Luna Pro (batch)

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Claude Sonnet 4.5 vs OpenAI: GPT-5.6 Luna Pro (batch) benchmark

In this head-to-head showdown, OpenAI: GPT-5.6 Luna Pro (batch) is more budget-friendly at $0.6/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Claude Sonnet 4.5 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose OpenAI: GPT-5.6 Luna Pro (batch) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:Share:
WhatsAppTelegramXLinkedIn
Executive Verdict Summary

OpenAI: GPT-5.6 Luna Pro (batch) holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Claude Sonnet 4.5Top code solve rate
ReasoningGPQA / Live
Claude Sonnet 4.5Top logical accuracy
Best Value$/1M Tok
OpenAI: GPT-5.6 Luna Pro (batch)Lowest API billing cost
Speed / TokTok/Sec
Claude Sonnet 4.5Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Claude Sonnet 4.5 (0)OpenAI: GPT-5.6 Luna Pro (batch) (3)
Claude Sonnet 4.5
0 of 3 Wins
Competitive baseline across remaining benchmarks
OpenAI: GPT-5.6 Luna Pro (batch)
3 of 3 Wins
✓Input price✓Output price✓Context window
Anthropic
Claude Sonnet 4.5

Workhorse Anthropic model: most of Opus coding quality at a mid-tier price.

Sonnet 4.5Elo 1,524In: $3 · Out: $15/1M
OpenAI
Leads 3 of 3
OpenAI: GPT-5.6 Luna Pro (batch)

Auto-discovered from OpenRouter (openai/gpt-5.6-luna-pro:batch). Preview until a second source matches.

In: $0.1 · Out: $0.6/1M

Claude 4 Series Lineage & Sibling Variants

5 models

Currently comparing Claude Sonnet 4.5 vs OpenAI: GPT-5.6 Luna Pro (batch). Alternative family tiers available.

Active: Claude Sonnet 4.5
Claude Opus 4.5$25Claude Opus 4.6$25Claude Opus 4.8$25Claude Haiku 4.5$5
Top Rival Showdowns for Claude Sonnet 4.5
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderOpenAI: GPT-5.6 Luna Pro (batch) Wins

OpenAI: GPT-5.6 Luna Pro (batch)

$0.6 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Claude Sonnet 4.5 (7)vsOpenAI: GPT-5.6 Luna Pro (batch) (3)
Claude Sonnet 4.5: 7W (70%)Overall: Claude Sonnet 4.5OpenAI: GPT-5.6 Luna Pro (batch): 3W (30%)
← Claude Sonnet 4.5OpenAI: GPT-5.6 Luna Pro (batch) →
🏆Claude Sonnet 4.5 Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Claude Sonnet 4.5vsOpenAI: GPT-5.6 Luna Pro (batch)
Preference Elo
1,524vs—
Coding Elo
1,531vs—
SWE-bench
70.1%vs—
LiveBench
67.4%vs—
GPQA Diamond
80.2%vs—
Claude Sonnet 4.5: 5WOpenAI: GPT-5.6 Luna Pro (batch): 0W
🏆Claude Sonnet 4.5 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Sonnet 4.5vsOpenAI: GPT-5.6 Luna Pro (batch)
Output speed
88 tok/svs—
Time to first token
240 msvs—
Claude Sonnet 4.5: 2WOpenAI: GPT-5.6 Luna Pro (batch): 0W
🏆OpenAI: GPT-5.6 Luna Pro (batch) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Sonnet 4.5vsOpenAI: GPT-5.6 Luna Pro (batch)
Output price
$15/1Mvs$0.6/1M+$14.4/1M
Input price
$3/1Mvs$0.1/1M+$2.9/1M
Context window
1Mvs1.1M+50k
Claude Sonnet 4.5: 0WOpenAI: GPT-5.6 Luna Pro (batch): 3W

Side-by-Side Benchmark Matrix

Claude Sonnet 4.5OpenAI: GPT-5.6 Luna Pro (batch)
Preference Elo
Claude Sonnet 4.51,524
OpenAI: GPT-5.6 Luna Pro (batch)—
Coding Elo
Claude Sonnet 4.51,531
OpenAI: GPT-5.6 Luna Pro (batch)—
LiveBench
Claude Sonnet 4.567.4%
OpenAI: GPT-5.6 Luna Pro (batch)—
SWE-bench
Claude Sonnet 4.570.1%
OpenAI: GPT-5.6 Luna Pro (batch)—
GPQA Diamond
Claude Sonnet 4.580.2%
OpenAI: GPT-5.6 Luna Pro (batch)—
Time to first token
Claude Sonnet 4.5240 ms
OpenAI: GPT-5.6 Luna Pro (batch)—
Output speed
Claude Sonnet 4.588 tok/s
OpenAI: GPT-5.6 Luna Pro (batch)—
Input priceOpenAI: GPT-5.6 Luna Pro (batch) +$2.9/1M
Claude Sonnet 4.5$3/1M
OpenAI: GPT-5.6 Luna Pro (batch)$0.1/1M
Output priceOpenAI: GPT-5.6 Luna Pro (batch) +$14.4/1M
Claude Sonnet 4.5$15/1M
OpenAI: GPT-5.6 Luna Pro (batch)$0.6/1M
Context windowOpenAI: GPT-5.6 Luna Pro (batch) +50k
Claude Sonnet 4.51M
OpenAI: GPT-5.6 Luna Pro (batch)1.1M
BenchmarkClaude Sonnet 4.5OpenAI: GPT-5.6 Luna Pro (batch)Advantage Delta
Preference Elo
1,524
lmarena · Aug 17, 2026
——
Coding Elo
1,531
lmarena · Aug 17, 2026
——
LiveBench
67.4%
livebench · Aug 17, 2026
——
SWE-bench
70.1%
swebench · Aug 17, 2026
——
GPQA Diamond
80.2%
seed-bootstrap · Aug 1, 2026
——
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
88 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$3/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
+$2.9/1M
Output price
$15/1M
openrouter · Aug 17, 2026
$0.6/1M
openrouter · Aug 17, 2026
+$14.4/1M
Context window
1M
openrouter · Aug 17, 2026
1.1M
openrouter · Aug 17, 2026
+50k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 96% with OpenAI: GPT-5.6 Luna Pro (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude Sonnet 4.5$330.00 / mo
In: $105Out: $225
OpenAI: GPT-5.6 Luna Pro (batch)$12.50 / mo
In: $3.5Out: $9
Estimated Cost Delta

OpenAI: GPT-5.6 Luna Pro (batch) is estimated to save $317.50/month ($3,810/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI: GPT-5.6 Luna Pro (batch):Pick OpenAI: GPT-5.6 Luna Pro (batch) when you are optimizing output cost.
  • 2
    OpenAI: GPT-5.6 Luna Pro (batch):Pick OpenAI: GPT-5.6 Luna Pro (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5.6 Luna Pro (batch)

Lower output list price ($0.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.6 Luna Pro (batch)

Larger window (1.1M).

Screenshots / visionClaude Sonnet 4.5

Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI: GPT-5.6 Luna Pro (batch)Lower output list price ($0.6/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: GPT-5.6 Luna Pro (batch)Larger window (1.1M).
Screenshots / visionClaude Sonnet 4.5Claude Sonnet 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchFeb 18, 2026

Claude Sonnet 4.5 is the previous workhorse — still a valid vs baseline

Most of Opus 4.5 coding at a mid-tier price. Sonnet 5 replaced it as the buy; 4.5 remains a compare baseline.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/claude-sonnet-4-5-vs-gpt-5-6-luna-pro-batch/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude Sonnet 4.5

Elo 1,524
SWE-bench70.1%
Speed (tok/s)88 tok/s
Input / 1M Tokens$3/1M
Output / 1M Tokens$15/1M
OpenAI

OpenAI: GPT-5.6 Luna Pro (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1.1M
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.6/1M

Frequently Asked Questions

Which is better overall, Claude Sonnet 4.5 or OpenAI: GPT-5.6 Luna Pro (batch)?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude Sonnet 4.5 or OpenAI: GPT-5.6 Luna Pro (batch)?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
OpenAI: GPT-5.6 Luna Pro (batch) output tokens are $0.6/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4.5 or OpenAI: GPT-5.6 Luna Pro (batch)?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: GPT-5.6 Luna Pro (batch) accepts 1.1M tokens versus 1M.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Sonnet 4.5 and OpenAI: GPT-5.6 Luna Pro (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Feb 18, 2026

    Claude Sonnet 4.5 is the previous workhorse — still a valid vs baseline

Similar Head-to-Head Comparisons

All Claude Sonnet 4.5 matchups →|All OpenAI: GPT-5.6 Luna Pro (batch) matchups →
Claude Sonnet 4.5 vs Claude Sonnet 4 (previous sonnet)Claude Sonnet 4.5 vs Claude Sonnet 5 (next sonnet)GPT-4.5 Orion vs Claude Sonnet 4.5GPT-5.6 Terra vs Claude Sonnet 4.5GPT-5 vs Claude Sonnet 4.5Claude Opus 4.5 vs Claude Sonnet 4.5