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  3. Gemini 2.5 Pro vs GPT-5.6 Luna

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 2.5 Pro vs GPT-5.6 Luna benchmark

This page compares Gemini 2.5 Pro (Google) and GPT-5.6 Luna (OpenAI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, GPT-5.6 Luna is ahead by 116 points (1,466 vs 1,350; lmarena (Aug 16, 2026)). On SWE-bench coding, Gemini 2.5 Pro resolves 63.8% versus 61.8% (swebench (Aug 17, 2026)). GPT-5.6 Luna streams faster (188 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 2.5 Pro vs GPT-5.6 Luna is a dated snapshot, not a lab score. GPT-5.6 Luna leads preference Elo (1,466 vs 1,350). Gemini 2.5 Pro 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 2.5 Pro

Previous Google long-context flagship.

Elo 1,350$10/1M 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
Model Lineage & Multi-Tier Derivatives🇺🇸 US Frontier

Gemini 2.5 Series Family (2 models)

Gemini 2.5 Pro
Google
Flagship Base
Elo
1350
Speed
95 tok/s
Price
$10.00 / 1M
Viewing now
Gemini 2.5 Flash
Google
2.5 Flash
Elo
1295
Speed
185 tok/s
Price
$2.50 / 1M
-55 Elo-75% cost1.9x speed
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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 2.5 Pro (2)vsGPT-5.6 Luna (8)
Gemini 2.5 Pro: 2W (20%)Overall: GPT-5.6 LunaGPT-5.6 Luna: 8W (80%)
← Gemini 2.5 ProGPT-5.6 Luna →
GPT-5.6 Luna (3/5)

Intelligence & Reasoning

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

Preference Elo
1,350vs1,466
Coding Elo
—vs1,458
SWE-bench
63.8%vs61.8%
LiveBench
57.1%vs64.2%
GPQA Diamond
76.4%vs75.4%
Gemini 2.5 Pro: 2WGPT-5.6 Luna: 3W
GPT-5.6 Luna (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
95 tok/svs188 tok/s
Time to first token
210 msvs88 ms
Gemini 2.5 Pro: 0WGPT-5.6 Luna: 2W
GPT-5.6 Luna (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$10/1Mvs$0.6/1M
Input price
$1.25/1Mvs$0.1/1M
Context window
1Mvs1.1M
Gemini 2.5 Pro: 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 AdvantageGPT-5.6 Luna 5/6
Preference Elo

GPT-5.6 Luna

116 pts advantage

Throughput Speed

GPT-5.6 Luna

93 tok/s faster

Token Price Efficiency

GPT-5.6 Luna

$9.40/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,350
EloHigh is better
1,466+9%
Code Elo
High is better
—
Code EloHigh is better
1,458
LiveBench
High is better
57.1%
LiveBenchHigh is better
64.2%+12%
SWE-bench
High is better
+3%63.8%
SWE-benchHigh is better
61.8%
GPQA
High is better
+1%76.4%
GPQAHigh is better
75.4%
TTFT
Low is better
210 ms
TTFTLow is better
88 ms+139%
Speed
High is better
95 tok/s
SpeedHigh is better
188 tok/s+98%
In $
Low is better
$1.25 / 1M
In $Low is better
$0.10 / 1M+1150%
Out $
Low is better
$10.00 / 1M
Out $Low is better
$0.60 / 1M+1567%
Context
High is better
1M
ContextHigh is better
1.1M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 94% 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 2.5 Pro$193.75 / mo
In: $43.75Out: $150
GPT-5.6 Luna$12.50 / mo
In: $3.5Out: $9
Estimated Cost Delta

GPT-5.6 Luna is estimated to save $181.25/month ($2,175/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.5 Pro:Pick Gemini 2.5 Pro 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 2.5 Pro

Higher SWE-bench (63.8%).

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 agentsGemini 2.5 ProHigher SWE-bench (63.8%).
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.

launchMar 25, 2025

Gemini 2.5 Pro remains the previous Google long-context flagship

2025-03 row. 3.x Pro replaced it. Kept for old “2.5 pro vs gpt-4o” inbound.

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Verified head-to-head card

LIVE
VS
Google

Gemini 2.5 Pro

Elo 1,350
LiveBench57.1%
SWE-bench63.8%
Speed95 tok/s
Output cost$10/1M
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 2.5 Pro 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, Gemini 2.5 Pro or GPT-5.6 Luna?
Gemini 2.5 Pro leads SWE-bench at 63.8% 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 $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.5 Pro or GPT-5.6 Luna?
GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 210 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 2.5 Pro 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

  • launch · Mar 25, 2025

    Gemini 2.5 Pro remains the previous Google long-context flagship

Similar Head-to-Head Comparisons

All Gemini 2.5 Pro matchups →|All GPT-5.6 Luna matchups →
Gemini 2.5 Pro vs Gemini 1.5 Pro (previous gemini-pro)Gemini 2.5 Pro vs Gemini 3 Pro (next gemini-pro)GPT-5.6 Luna vs GPT-5 mini (previous gpt-mini)Gemini 2.0 Flash Thinking vs GPT-5.6 LunaGemini 3 Flash vs GPT-5.6 LunaGemini 3.6 Flash vs GPT-5.6 Luna