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

Every score has a dated snapshot.

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  3. Claude 3.5 Sonnet vs GPT-5.6 Luna

Pairwise benchmark snapshot · Aug 17, 2026

Claude 3.5 Sonnet vs GPT-5.6 Luna benchmark

In this head-to-head showdown, GPT-5.6 Luna delivers higher overall intelligence and human-preferred responses (Elo 1,466 vs 1,280), while GPT-5.6 Luna leads in SWE-bench software engineering benchmarks (61.8%), while GPT-5.6 Luna 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: GPT-5.6 Luna holds the advantage over Claude 3.5 Sonnet in overall benchmark performance and human evaluation rankings. Choose GPT-5.6 Luna for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
Share Analysis:
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Anthropic
Claude 3.5 Sonnet

2024 workhorse. Still a high-intent compare against GPT-4o.

Elo 1,280$15/1M out
OpenAI
GPT-5.6 Luna

OpenAI 5.6 fast/cheap tier. Official API $0.20/$1.20 per 1M after the Jul 30 80% Luna cut.

Luna Fast / VolumeElo 1,466$0.6/1M out
Top Rival Showdowns for Claude 3.5 Sonnet
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

GPT-5.6 Luna

Δ 186 Arena Elo pts

Throughput Leader

GPT-5.6 Luna

188 tok/s

Value per Dollar Leader

GPT-5.6 Luna

$0.6 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGPT-5.6 Luna 6/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude 3.5 Sonnet (0)vsGPT-5.6 Luna (10)
Claude 3.5 Sonnet: 0W (0%)Overall: GPT-5.6 LunaGPT-5.6 Luna: 10W (100%)
← Claude 3.5 SonnetGPT-5.6 Luna →
GPT-5.6 Luna (5/5)

Intelligence & Reasoning

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

Preference Elo
1,280vs1,466
Coding Elo
—vs1,458
SWE-bench
49%vs61.8%
LiveBench
52.1%vs64.2%
GPQA Diamond
65%vs75.4%
Claude 3.5 Sonnet: 0WGPT-5.6 Luna: 5W
GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
80 tok/svs188 tok/s
Time to first token
280 msvs88 ms
Claude 3.5 Sonnet: 0WGPT-5.6 Luna: 2W
GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$15/1Mvs$0.6/1M
Input price
$3/1Mvs$0.1/1M
Context window
200kvs1.1M
Claude 3.5 Sonnet: 0WGPT-5.6 Luna: 3W

Side-by-Side Benchmark Matrix

Preference EloGPT-5.6 Luna (+186)
Claude 3.5 Sonnet1,280
lmarena · Aug 17, 2026
GPT-5.6 Luna1,466
lmarena · Aug 16, 2026
Coding Elo
Claude 3.5 Sonnet—
GPT-5.6 Luna1,458
lmarena · Aug 16, 2026
LiveBenchGPT-5.6 Luna (+12.1%)
Claude 3.5 Sonnet52.1%
livebench · Aug 17, 2026
GPT-5.6 Luna64.2%
livebench · Aug 16, 2026
SWE-benchGPT-5.6 Luna (+12.8%)
Claude 3.5 Sonnet49%
swebench · Aug 17, 2026
GPT-5.6 Luna61.8%
swebench · Aug 16, 2026
GPQA DiamondGPT-5.6 Luna (+10.4%)
Claude 3.5 Sonnet65%
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna75.4%
seed-bootstrap · Aug 16, 2026
Time to first tokenGPT-5.6 Luna (+192 ms)
Claude 3.5 Sonnet280 ms
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna88 ms
seed-bootstrap · Aug 16, 2026
Output speedGPT-5.6 Luna (+108 tok/s)
Claude 3.5 Sonnet80 tok/s
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna188 tok/s
seed-bootstrap · Aug 16, 2026
Input priceGPT-5.6 Luna (+$2.9/1M)
Claude 3.5 Sonnet$3/1M
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna$0.1/1M
openrouter · Aug 17, 2026
Output priceGPT-5.6 Luna (+$14.4/1M)
Claude 3.5 Sonnet$15/1M
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna$0.6/1M
openrouter · Aug 17, 2026
Context windowGPT-5.6 Luna (+850k)
Claude 3.5 Sonnet200k
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna1.1M
openrouter · Aug 17, 2026
BenchmarkClaude 3.5 SonnetGPT-5.6 LunaAdvantage Delta
Preference Elo
1,280
lmarena · Aug 17, 2026
1,466
lmarena · Aug 16, 2026
GPT-5.6 Luna (+186)
Coding Elo—
1,458
lmarena · Aug 16, 2026
—
LiveBench
52.1%
livebench · Aug 17, 2026
64.2%
livebench · Aug 16, 2026
GPT-5.6 Luna (+12.1%)
SWE-bench
49%
swebench · Aug 17, 2026
61.8%
swebench · Aug 16, 2026
GPT-5.6 Luna (+12.8%)
GPQA Diamond
65%
seed-bootstrap · Aug 1, 2026
75.4%
seed-bootstrap · Aug 16, 2026
GPT-5.6 Luna (+10.4%)
Time to first token
280 ms
seed-bootstrap · Aug 1, 2026
88 ms
seed-bootstrap · Aug 16, 2026
GPT-5.6 Luna (+192 ms)
Output speed
80 tok/s
seed-bootstrap · Aug 1, 2026
188 tok/s
seed-bootstrap · Aug 16, 2026
GPT-5.6 Luna (+108 tok/s)
Input price
$3/1M
seed-bootstrap · Aug 1, 2026
$0.1/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+$2.9/1M)
Output price
$15/1M
seed-bootstrap · Aug 1, 2026
$0.6/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+$14.4/1M)
Context window
200k
seed-bootstrap · Aug 1, 2026
1.1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+850k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

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

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

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5.6 Luna:Pick GPT-5.6 Luna when repo-level coding accuracy is the constraint.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna when time-to-first-token matters more than peak Elo.
  • 3
    GPT-5.6 Luna:Pick GPT-5.6 Luna for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Luna

Higher SWE-bench (61.8%).

High-volume chatGPT-5.6 Luna

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

Voice / low-latency UIGPT-5.6 Luna

Lower TTFT (88 ms).

Long-document RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionGPT-5.6 Luna

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Luna).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5.6 LunaHigher SWE-bench (61.8%).
High-volume chatGPT-5.6 LunaLower output list price ($0.6/1M).
Voice / low-latency UIGPT-5.6 LunaLower TTFT (88 ms).
Long-document RAGGPT-5.6 LunaLarger window (1.1M).
Screenshots / visionGPT-5.6 LunaBoth accept images. Defaulting to the higher-Elo side (GPT-5.6 Luna).

Related Editorial Dispatches & Benchmark Notes

View all news
priceJul 30, 2026

GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

Luna is the OpenAI fast/cheap 5.6 SKU after Jul 30. It is not Sol. Sort by price and TTFT, not Elo.

launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Claude 3.5 Sonnet

Elo 1,280
LiveBench52.1%
SWE-bench49%
Speed80 tok/s
Output cost$15/1M
OpenAI

GPT-5.6 Luna

Elo 1,466
LiveBench64.2%
SWE-bench61.8%
Speed188 tok/s
Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or GPT-5.6 Luna?
GPT-5.6 Luna has the higher preference Elo in our latest snapshot (1,466). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Sonnet or GPT-5.6 Luna?
GPT-5.6 Luna leads SWE-bench at 61.8% vs 49%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GPT-5.6 Luna output tokens are $0.6/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Sonnet or GPT-5.6 Luna?
GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GPT-5.6 Luna accepts 1.1M tokens versus 200k.
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 3.5 Sonnet and GPT-5.6 Luna Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Jul 30, 2026

    GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Similar Head-to-Head Comparisons

All Claude 3.5 Sonnet matchups →|All GPT-5.6 Luna matchups →
Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)Claude Opus 4.5 vs GPT-5.6 LunaClaude Opus 4.6 vs GPT-5.6 LunaClaude Sonnet 4.5 vs GPT-5.6 LunaGPT-5 vs GPT-5.6 Luna