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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. Gemini 1.5 Pro vs GPT-5.6 Luna

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro vs GPT-5.6 Luna benchmark

In this head-to-head showdown, GPT-5.6 Luna delivers higher overall intelligence and human-preferred responses (Elo 1,466 vs 1,260), while GPT-5.6 Luna leads in SWE-bench software engineering benchmarks (61.8%), while 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: GPT-5.6 Luna holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose GPT-5.6 Luna for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Gemini 1.5 Pro (1)GPT-5.6 Luna (8)
Gemini 1.5 Pro
1 of 9 Wins
✓Context window
GPT-5.6 Luna
8 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Google
Leads 1 of 9 metrics
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
OpenAI
Leads 8 of 9 metrics
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 Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderGPT-5.6 Luna Wins

GPT-5.6 Luna

Δ 206 Arena Elo pts

Throughput LeaderGPT-5.6 Luna Wins

GPT-5.6 Luna

188 tok/s

Value per Dollar LeaderGPT-5.6 Luna Wins

GPT-5.6 Luna

$0.6 / 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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Gemini 1.5 Pro (1)vsGPT-5.6 Luna (9)
Gemini 1.5 Pro: 1W (10%)Overall: GPT-5.6 LunaGPT-5.6 Luna: 9W (90%)
← Gemini 1.5 ProGPT-5.6 Luna →
🏆GPT-5.6 Luna(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsGPT-5.6 Luna
Preference Elo
1,260vs1,466+206
Coding Elo
—vs1,458
SWE-bench
38%vs61.8%+23.8%
LiveBench
49.2%vs64.2%+15%
GPQA Diamond
58%vs75.4%+17.4%
Gemini 1.5 Pro: 0WGPT-5.6 Luna: 5W
🏆GPT-5.6 Luna(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsGPT-5.6 Luna
Output speed
70 tok/svs188 tok/s+118 tok/s
Time to first token
240 msvs88 ms+152 ms
Gemini 1.5 Pro: 0WGPT-5.6 Luna: 2W
🏆GPT-5.6 Luna(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsGPT-5.6 Luna
Output price
$5/1Mvs$0.6/1M+$4.4/1M
Input price
$1.25/1Mvs$0.1/1M+$1.15/1M
Context window
2Mvs1.1M+950k
Gemini 1.5 Pro: 1WGPT-5.6 Luna: 2W

Side-by-Side Benchmark Matrix

Preference Elo+206
Gemini 1.5 Pro1,260
lmarena · Aug 17, 2026
GPT-5.6 Luna1,466
lmarena · Aug 16, 2026
Coding Elo
Gemini 1.5 Pro—
GPT-5.6 Luna1,458
lmarena · Aug 16, 2026
LiveBench+15%
Gemini 1.5 Pro49.2%
livebench · Aug 17, 2026
GPT-5.6 Luna64.2%
livebench · Aug 16, 2026
SWE-bench+23.8%
Gemini 1.5 Pro38%
swebench · Aug 17, 2026
GPT-5.6 Luna61.8%
swebench · Aug 16, 2026
GPQA Diamond+17.4%
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna75.4%
seed-bootstrap · Aug 16, 2026
Time to first token+152 ms
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna88 ms
seed-bootstrap · Aug 16, 2026
Output speed+118 tok/s
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna188 tok/s
seed-bootstrap · Aug 16, 2026
Input price+$1.15/1M
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna$0.1/1M
openrouter · Aug 17, 2026
Output price+$4.4/1M
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna$0.6/1M
openrouter · Aug 17, 2026
Context window+950k
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
GPT-5.6 Luna1.1M
openrouter · Aug 17, 2026
BenchmarkGemini 1.5 ProGPT-5.6 LunaAdvantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
1,466
lmarena · Aug 16, 2026
+206
Coding Elo—
1,458
lmarena · Aug 16, 2026
—
LiveBench
49.2%
livebench · Aug 17, 2026
64.2%
livebench · Aug 16, 2026
+15%
SWE-bench
38%
swebench · Aug 17, 2026
61.8%
swebench · Aug 16, 2026
+23.8%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
75.4%
seed-bootstrap · Aug 16, 2026
+17.4%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
88 ms
seed-bootstrap · Aug 16, 2026
+152 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
188 tok/s
seed-bootstrap · Aug 16, 2026
+118 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.1/1M
openrouter · Aug 17, 2026
+$1.15/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$0.6/1M
openrouter · Aug 17, 2026
+$4.4/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
1.1M
openrouter · Aug 17, 2026
+950k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 89% 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 1.5 Pro$118.75 / mo
In: $43.75Out: $75
GPT-5.6 Luna$12.50 / mo
In: $3.5Out: $9
Estimated Cost Delta

GPT-5.6 Luna is estimated to save $106.25/month ($1,275/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5.6 Luna:Pick GPT-5.6 Luna when repo-level coding accuracy is the constraint.
  • 2
    GPT-5.6 Luna:Pick GPT-5.6 Luna when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Luna

Higher SWE-bench (61.8%).

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 RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGPT-5.6 Luna

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Luna).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5.6 LunaHigher SWE-bench (61.8%).
High-volume chatGPT-5.6 LunaLower output list price ($0.6/1M).
Voice / low-latency UIGPT-5.6 LunaLower TTFT (88 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
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, Gemini 1.5 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 1.5 Pro or GPT-5.6 Luna?
GPT-5.6 Luna leads SWE-bench at 61.8% vs 38%. 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 $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or GPT-5.6 Luna?
GPT-5.6 Luna has the lower time-to-first-token (88 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro 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. Gemini 1.5 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

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All GPT-5.6 Luna matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)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 Luna