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Precision Benchmarks

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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. Dots Studio: Dots3-Note Preview (free) vs GPT-5.6 Luna

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

Dots Studio: Dots3-Note Preview (free) vs GPT-5.6 Luna benchmark

In this head-to-head showdown, Dots Studio: Dots3-Note Preview (free) is more budget-friendly at $0/1M 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: Both Dots Studio: Dots3-Note Preview (free) and GPT-5.6 Luna present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Dots Studio: Dots3-Note Preview (free) holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
GPT-5.6 LunaTop code solve rate
ReasoningGPQA / Live
GPT-5.6 LunaTop logical accuracy
Best Value$/1M Tok
GPT-5.6 LunaLowest API billing cost
Speed / TokTok/Sec
GPT-5.6 LunaFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Dots Studio: Dots3-Note Preview (free) (2)GPT-5.6 Luna (1)
Dots Studio: Dots3-Note Preview (free)
2 of 3 Wins
✓Input price✓Output price
GPT-5.6 Luna
1 of 3 Wins
✓Context window
dots-studio
Leads 2 of 3
Dots Studio: Dots3-Note Preview (free)

Auto-discovered from OpenRouter (dots-studio/dots-3-note-preview:free). Preview until a second source matches.

In: $0 · Out: $0/1M
OpenAI
Leads 1 of 3
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 1,466In: $0.1 · Out: $0.6/1M
Top Rival Showdowns for Dots Studio: Dots3-Note Preview (free)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDots Studio: Dots3-Note Preview (free) Wins

Dots Studio: Dots3-Note Preview (free)

$0 / 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.

Dots Studio: Dots3-Note Preview (free) (2)vsGPT-5.6 Luna (8)
Dots Studio: Dots3-Note Preview (free): 2W (20%)Overall: GPT-5.6 LunaGPT-5.6 Luna: 8W (80%)
← Dots Studio: Dots3-Note Preview (free)GPT-5.6 Luna →
🏆GPT-5.6 Luna Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Dots Studio: Dots3-Note Preview (free)vsGPT-5.6 Luna
Preference Elo
—vs1,466
Coding Elo
—vs1,458
SWE-bench
—vs61.8%
LiveBench
—vs64.2%
GPQA Diamond
—vs75.4%
Dots Studio: Dots3-Note Preview (free): 0WGPT-5.6 Luna: 5W
🏆GPT-5.6 Luna Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Dots Studio: Dots3-Note Preview (free)vsGPT-5.6 Luna
Output speed
—vs188 tok/s
Time to first token
—vs88 ms
Dots Studio: Dots3-Note Preview (free): 0WGPT-5.6 Luna: 2W
🏆Dots Studio: Dots3-Note Preview (free) Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Dots Studio: Dots3-Note Preview (free)vsGPT-5.6 Luna
Output price
$0/1Mvs$0.6/1M+$0.6/1M
Input price
$0/1Mvs$0.1/1M+$0.1/1M
Context window
512kvs1.1M+538k
Dots Studio: Dots3-Note Preview (free): 2WGPT-5.6 Luna: 1W

Side-by-Side Benchmark Matrix

Dots Studio: Dots3-Note Preview (free)GPT-5.6 Luna
Preference Elo
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna1,466
Coding Elo
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna1,458
LiveBench
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna64.2%
SWE-bench
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna61.8%
GPQA Diamond
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna75.4%
Time to first token
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna88 ms
Output speed
Dots Studio: Dots3-Note Preview (free)—
GPT-5.6 Luna188 tok/s
Input priceDots Studio: Dots3-Note Preview (free) +$0.1/1M
Dots Studio: Dots3-Note Preview (free)$0/1M
GPT-5.6 Luna$0.1/1M
Output priceDots Studio: Dots3-Note Preview (free) +$0.6/1M
Dots Studio: Dots3-Note Preview (free)$0/1M
GPT-5.6 Luna$0.6/1M
Context windowGPT-5.6 Luna +538k
Dots Studio: Dots3-Note Preview (free)512k
GPT-5.6 Luna1.1M
BenchmarkDots Studio: Dots3-Note Preview (free)GPT-5.6 LunaAdvantage Delta
Preference Elo—
1,466
lmarena · Aug 16, 2026
—
Coding Elo—
1,458
lmarena · Aug 16, 2026
—
LiveBench—
64.2%
livebench · Aug 16, 2026
—
SWE-bench—
61.8%
swebench · Aug 16, 2026
—
GPQA Diamond—
75.4%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
88 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
188 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$0/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
+$0.1/1M
Output price
$0/1M
openrouter · Aug 17, 2026
$0.6/1M
openrouter · Aug 17, 2026
+$0.6/1M
Context window
512k
openrouter · Aug 17, 2026
1.1M
openrouter · Aug 17, 2026
+538k

Key Selection Recommendations

  • 1
    Dots Studio: Dots3-Note Preview (free):Pick Dots Studio: Dots3-Note Preview (free) when you are optimizing output cost.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDots Studio: Dots3-Note Preview (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5.6 Luna

Larger window (1.1M).

Screenshots / visionGPT-5.6 Luna

GPT-5.6 Luna is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDots Studio: Dots3-Note Preview (free)Lower output list price ($0/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGPT-5.6 LunaLarger window (1.1M).
Screenshots / visionGPT-5.6 LunaGPT-5.6 Luna is the side marked multimodal in the catalog.

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.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
dots-studio

Dots Studio: Dots3-Note Preview (free)

Elo n/a
SWE-bench—
Speed (tok/s)512k
Input / 1M Tokens$0/1M
Output / 1M Tokens$0/1M
OpenAI

GPT-5.6 Luna

Elo 1,466
SWE-bench61.8%
Speed (tok/s)188 tok/s
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.6/1M

Frequently Asked Questions

Which is better overall, Dots Studio: Dots3-Note Preview (free) or GPT-5.6 Luna?
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, Dots Studio: Dots3-Note Preview (free) or GPT-5.6 Luna?
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?
Dots Studio: Dots3-Note Preview (free) output tokens are $0/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, Dots Studio: Dots3-Note Preview (free) or GPT-5.6 Luna?
We do not have TTFT for both models.
Which has the larger context window?
GPT-5.6 Luna accepts 1.1M tokens versus 512k.
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. Dots Studio: Dots3-Note Preview (free) 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 Dots Studio: Dots3-Note Preview (free) matchups →|All GPT-5.6 Luna matchups →
GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)GPT-5 vs GPT-5.6 LunaGPT-4.5 Orion vs GPT-5.6 LunaGPT-5.6 Sol vs GPT-5.6 LunaGPT-5.6 Terra vs GPT-5.6 LunaGPT-4o vs GPT-5.6 Luna