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

GPT-5.6 Luna vs Pareto Code Router benchmark

Name: GPT-5.6 Luna vs Pareto Code Router AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-5.6 Luna (OpenAI) and Pareto Code Router (openrouter) using the latest snapshots we have as of Aug 17, 2026. Pareto Code Router wins on output price at $-1,000,000/1M. Pareto Code Router has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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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.

Elo 1,466$0.6/1M out

openrouter

Pareto Code Router

Auto-discovered from OpenRouter (openrouter/pareto-code). Preview until a second source matches.

$-1000000/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5.6 Luna (7)vsPareto Code Router (3)

GPT-5.6 Luna: 7W (70%)Overall: GPT-5.6 LunaPareto Code Router: 3W (30%)

← GPT-5.6 LunaPareto Code Router →

GPT-5.6 Luna (5/5)

Intelligence & Reasoning

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

Preference Elo

1,466vs—

Coding Elo

1,458vs—

SWE-bench

61.8%vs—

LiveBench

64.2%vs—

GPQA Diamond

75.4%vs—

GPT-5.6 Luna: 5WPareto Code Router: 0W

GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

188 tok/svs—

Time to first token

88 msvs—

GPT-5.6 Luna: 2WPareto Code Router: 0W

Pareto Code Router (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.6/1Mvs$-1,000,000/1M

Input price

$0.1/1Mvs$-1,000,000/1M

Context window

1.1Mvs2M

GPT-5.6 Luna: 0WPareto Code Router: 3W

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 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Pareto Code Router

$1000000.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,466

EloHigh is better

—

Code Elo

High is better

1,458

Code EloHigh is better

—

LiveBench

High is better

64.2%

LiveBenchHigh is better

—

SWE-bench

High is better

61.8%

SWE-benchHigh is better

—

GPQA

High is better

75.4%

GPQAHigh is better

—

TTFT

Low is better

88 ms

TTFTLow is better

—

Speed

High is better

188 tok/s

SpeedHigh is better

—

In $

Low is better

$0.1/1M

In $Low is better

$-1,000,000/1M

Out $

Low is better

$0.6/1M

Out $Low is better

$-1,000,000/1M

Context

High is better

1.1M

ContextHigh is better

2M+90%

Key Selection Recommendations

1
Pareto Code Router:Pick Pareto Code Router when you are optimizing output cost.
2
Pareto Code Router:Pick Pareto Code Router for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatPareto Code Router

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGPareto Code Router

Larger window (2M).

Screenshots / visionGPT-5.6 Luna

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Pareto Code Router	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Pareto Code Router	Larger window (2M).
Screenshots / vision	GPT-5.6 Luna	GPT-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.

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LIVE

OpenAI

GPT-5.6 Luna

Elo 1,466

LiveBench64.2%

SWE-bench61.8%

Speed188 tok/s

Output cost$0.6/1M

openrouter

Pareto Code Router

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$-1,000,000/1M

Frequently Asked Questions

Which is better overall, GPT-5.6 Luna or Pareto Code Router?: 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, GPT-5.6 Luna or Pareto Code Router?: 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?: Pareto Code Router output tokens are $-1,000,000/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5.6 Luna or Pareto Code Router?: We do not have TTFT for both models.
Which has the larger context window?: Pareto Code Router accepts 2M tokens versus 1.1M.
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. GPT-5.6 Luna and Pareto Code Router Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-5.6 Luna matchups →|All Pareto Code Router matchups →

GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)GPT-4.5 Orion vs GPT-5.6 Luna GPT-5.6 Terra vs GPT-5.6 Luna GPT-5 vs GPT-5.6 Luna GPT-5.6 Sol vs GPT-5.6 Luna OpenAI o1-mini vs GPT-5.6 Luna

GPT-5.6 Luna vs Pareto Code Router benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5.6 Luna (7)vsPareto Code Router (3)

GPT-5.6 Luna: 7W (70%)Overall: GPT-5.6 LunaPareto Code Router: 3W (30%)

← GPT-5.6 LunaPareto Code Router →

GPT-5.6 Luna (5/5)

Intelligence & Reasoning

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

Preference Elo

1,466vs—

Coding Elo

1,458vs—

SWE-bench

61.8%vs—

LiveBench

64.2%vs—

GPQA Diamond

75.4%vs—

GPT-5.6 Luna: 5WPareto Code Router: 0W

GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

188 tok/svs—

Time to first token

88 msvs—

GPT-5.6 Luna: 2WPareto Code Router: 0W

Pareto Code Router (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.6/1Mvs$-1,000,000/1M

Input price

$0.1/1Mvs$-1,000,000/1M

Context window

1.1Mvs2M

GPT-5.6 Luna: 0WPareto Code Router: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatPareto Code Router

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGPareto Code Router

Larger window (2M).

Screenshots / visionGPT-5.6 Luna

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Pareto Code Router	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Pareto Code Router	Larger window (2M).
Screenshots / vision	GPT-5.6 Luna	GPT-5.6 Luna is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-5.6 Luna or Pareto Code Router?

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, GPT-5.6 Luna or Pareto Code Router?

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?

Pareto Code Router output tokens are $-1,000,000/1M versus $0.6/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-5.6 Luna or Pareto Code Router?

We do not have TTFT for both models.

Which has the larger context window?

Pareto Code Router accepts 2M tokens versus 1.1M.

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. GPT-5.6 Luna and Pareto Code Router Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Pareto Code Router

Full Benchmark Score Matrix

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-5.6 Luna

Pareto Code Router

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Pareto Code Router

Full Benchmark Score Matrix

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-5.6 Luna

Pareto Code Router

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons