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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. Gemini 3.6 Flash vs GPT-5.6 Luna

Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3.6 Flash vs GPT-5.6 Luna benchmark

This page compares Gemini 3.6 Flash (Google) and GPT-5.6 Luna (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3.6 Flash is ahead by 40 points (1,506 vs 1,466; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Gemini 3.6 Flash resolves 70.8% versus 61.8% (seed-bootstrap (Aug 16, 2026)). Gemini 3.6 Flash streams faster (198 tok/s) while GPT-5.6 Luna is the cheaper output token ($0.6/1M). GPT-5.6 Luna has the larger context window (1.1M 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.

Quick answer

Gemini 3.6 Flash vs GPT-5.6 Luna is a dated snapshot, not a lab score. Gemini 3.6 Flash leads preference Elo (1,506 vs 1,466). Gemini 3.6 Flash leads SWE-bench coding. GPT-5.6 Luna is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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Google

Gemini 3.6 Flash

Google Jul 21 workhorse. Now shares the 3.7 Flash introductory $0.75/$3.75 rate through Dec 31 2026.

Elo 1,506$3.75/1M 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.

Elo 1,466$0.6/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Flash (6)vsGPT-5.6 Luna (4)
Gemini 3.6 Flash: 6W (60%)Overall: Gemini 3.6 FlashGPT-5.6 Luna: 4W (40%)
← Gemini 3.6 FlashGPT-5.6 Luna →
Gemini 3.6 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo
1,506vs1,466
Coding Elo
1,514vs1,458
SWE-bench
70.8%vs61.8%
LiveBench
67.2%vs64.2%
GPQA Diamond
79.6%vs75.4%
Gemini 3.6 Flash: 5WGPT-5.6 Luna: 0W
Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
198 tok/svs188 tok/s
Time to first token
92 msvs88 ms
Gemini 3.6 Flash: 1WGPT-5.6 Luna: 1W
GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$3.75/1Mvs$0.6/1M
Input price
$0.75/1Mvs$0.1/1M
Context window
1Mvs1.1M
Gemini 3.6 Flash: 0WGPT-5.6 Luna: 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 AdvantageGemini 3.6 Flash 3/6
Preference Elo

Gemini 3.6 Flash

40 pts advantage

Throughput Speed

Gemini 3.6 Flash

10 tok/s faster

Price Efficiency

GPT-5.6 Luna

$3.15/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
+3%1,506
EloHigh is better
1,466
Code Elo
High is better
+4%1,514
Code EloHigh is better
1,458
LiveBench
High is better
+5%67.2%
LiveBenchHigh is better
64.2%
SWE-bench
High is better
+15%70.8%
SWE-benchHigh is better
61.8%
GPQA
High is better
+6%79.6%
GPQAHigh is better
75.4%
TTFT
Low is better
92 ms
TTFTLow is better
88 ms+5%
Speed
High is better
+5%198 tok/s
SpeedHigh is better
188 tok/s
In $
Low is better
$0.75/1M
In $Low is better
$0.1/1M+650%
Out $
Low is better
$3.75/1M
Out $Low is better
$0.6/1M+525%
Context
High is better
1M
ContextHigh is better
1.1M
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 85% 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)
Gemini 3.6 Flash$82.50 / mo
In: $26.25Out: $56.25
GPT-5.6 Luna$12.50 / mo
In: $3.50Out: $9.00
Estimated Cost Delta

GPT-5.6 Luna is estimated to save $70.00/month ($840/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 3.6 Flash:Pick Gemini 3.6 Flash when repo-level coding accuracy is the constraint.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna when you are optimizing output cost.
  • 3
    GPT-5.6 Luna:Pick GPT-5.6 Luna when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Flash

Higher SWE-bench (70.8%).

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 / visionGemini 3.6 Flash

Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Flash).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 3.6 FlashHigher SWE-bench (70.8%).
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 / visionGemini 3.6 FlashBoth accept images. Defaulting to the higher-Elo side (Gemini 3.6 Flash).

Related Editorial Dispatches & Benchmark Notes

View all news
priceAug 13, 2026

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.

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

Gemini 3.6 Flash

Elo 1,506
LiveBench67.2%
SWE-bench70.8%
Speed198 tok/s
Output cost$3.75/1M
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, Gemini 3.6 Flash or GPT-5.6 Luna?
Gemini 3.6 Flash has the higher preference Elo in our latest snapshot (1,506). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3.6 Flash or GPT-5.6 Luna?
Gemini 3.6 Flash leads SWE-bench at 70.8% vs 61.8%. 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 $3.75/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Flash or GPT-5.6 Luna?
GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 92 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 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. Gemini 3.6 Flash and GPT-5.6 Luna Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Aug 13, 2026

    Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

  • 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 Gemini 3.6 Flash matchups →|All GPT-5.6 Luna matchups →
Gemini 3.6 Flash vs Gemini 3 Flash (previous gemini-flash)Gemini 3.6 Flash vs Gemini 3.7 Flash (next gemini-flash)GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)Gemini 2.0 Flash Thinking vs Gemini 3.6 FlashGPT-4.5 Orion vs Gemini 3.6 FlashGPT-5.6 Terra vs Gemini 3.6 Flash