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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. Google: Gemini 3.1 Pro Preview Custom Tools vs GPT-5.6 Luna

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

Google: Gemini 3.1 Pro Preview Custom Tools vs GPT-5.6 Luna benchmark

In this head-to-head showdown, 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: Choose Google: Gemini 3.1 Pro Preview Custom Tools if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GPT-5.6 Luna if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Google
Google: Gemini 3.1 Pro Preview Custom Tools

Auto-discovered from OpenRouter (google/gemini-3.1-pro-preview-customtools). Preview until a second source matches.

$12/1M 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 Google: Gemini 3.1 Pro Preview Custom Tools
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs 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 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.

Google: Gemini 3.1 Pro Preview Custom Tools (0)vsGPT-5.6 Luna (10)
Google: Gemini 3.1 Pro Preview Custom Tools: 0W (0%)Overall: GPT-5.6 LunaGPT-5.6 Luna: 10W (100%)
← Google: Gemini 3.1 Pro Preview Custom ToolsGPT-5.6 Luna →
GPT-5.6 Luna (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,466
Coding Elo
—vs1,458
SWE-bench
—vs61.8%
LiveBench
—vs64.2%
GPQA Diamond
—vs75.4%
Google: Gemini 3.1 Pro Preview Custom Tools: 0WGPT-5.6 Luna: 5W
GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs188 tok/s
Time to first token
—vs88 ms
Google: Gemini 3.1 Pro Preview Custom Tools: 0WGPT-5.6 Luna: 2W
GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$12/1Mvs$0.6/1M
Input price
$2/1Mvs$0.1/1M
Context window
1Mvs1.1M
Google: Gemini 3.1 Pro Preview Custom Tools: 0WGPT-5.6 Luna: 3W

Side-by-Side Benchmark Matrix

Preference Elo
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna1,466
lmarena · Aug 16, 2026
Coding Elo
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna1,458
lmarena · Aug 16, 2026
LiveBench
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna64.2%
livebench · Aug 16, 2026
SWE-bench
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna61.8%
swebench · Aug 16, 2026
GPQA Diamond
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna75.4%
seed-bootstrap · Aug 16, 2026
Time to first token
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna88 ms
seed-bootstrap · Aug 16, 2026
Output speed
Google: Gemini 3.1 Pro Preview Custom Tools—
GPT-5.6 Luna188 tok/s
seed-bootstrap · Aug 16, 2026
Input priceGPT-5.6 Luna (+$1.9/1M)
Google: Gemini 3.1 Pro Preview Custom Tools$2/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna$0.1/1M
openrouter · Aug 17, 2026
Output priceGPT-5.6 Luna (+$11.4/1M)
Google: Gemini 3.1 Pro Preview Custom Tools$12/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna$0.6/1M
openrouter · Aug 17, 2026
Context windowGPT-5.6 Luna (+1k)
Google: Gemini 3.1 Pro Preview Custom Tools1M
openrouter · Aug 17, 2026
GPT-5.6 Luna1.1M
openrouter · Aug 17, 2026
BenchmarkGoogle: Gemini 3.1 Pro Preview Custom ToolsGPT-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
$2/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+$1.9/1M)
Output price
$12/1M
openrouter · Aug 17, 2026
$0.6/1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+$11.4/1M)
Context window
1M
openrouter · Aug 17, 2026
1.1M
openrouter · Aug 17, 2026
GPT-5.6 Luna (+1k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 95% 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)
Google: Gemini 3.1 Pro Preview Custom Tools$250.00 / mo
In: $70Out: $180
GPT-5.6 Luna$12.50 / mo
In: $3.5Out: $9
Estimated Cost Delta

GPT-5.6 Luna is estimated to save $237.50/month ($2,850/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5.6 Luna:Pick GPT-5.6 Luna 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 chatGPT-5.6 Luna

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

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 chatGPT-5.6 LunaLower output list price ($0.6/1M).
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.

Community Sentiment

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CompareLLM Matrix

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LIVE
VS
Google

Google: Gemini 3.1 Pro Preview Custom Tools

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$12/1M
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, Google: Gemini 3.1 Pro Preview Custom Tools 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, Google: Gemini 3.1 Pro Preview Custom Tools 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?
GPT-5.6 Luna output tokens are $0.6/1M versus $12/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.1 Pro Preview Custom Tools 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 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. Google: Gemini 3.1 Pro Preview Custom Tools 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 Google: Gemini 3.1 Pro Preview Custom Tools matchups →|All GPT-5.6 Luna matchups →
GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)GPT-5 vs GPT-5.6 LunaGemini 3 Pro vs GPT-5.6 LunaGemini 3 Flash vs GPT-5.6 LunaGPT-4.5 Orion vs GPT-5.6 LunaGemini 2.0 Flash Thinking vs GPT-5.6 Luna