CompareLLM
CompareLLM.ai
Live
LeaderboardModelsCompareStacksBest ofGuidesNewsMethod
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

  1. Home
  2. Comparisons
  3. Gemini 3 Pro vs GPT-5.6 Sol

Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3 Pro vs GPT-5.6 Sol benchmark

This page compares Gemini 3 Pro (Google) and GPT-5.6 Sol (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5.6 Sol is ahead by 56 points (1,608 vs 1,552; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, GPT-5.6 Sol resolves 77.6% versus 72.4% (seed-bootstrap (Aug 16, 2026)). Gemini 3 Pro streams faster (92 tok/s) while Gemini 3 Pro is the cheaper output token ($5/1M). Gemini 3 Pro 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.

Quick answer

Gemini 3 Pro vs GPT-5.6 Sol is a dated snapshot, not a lab score. GPT-5.6 Sol leads preference Elo (1,608 vs 1,552). GPT-5.6 Sol leads SWE-bench coding. Gemini 3 Pro is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

Google

Gemini 3 Pro

Google frontier multimodal model with a multi-million-token context window.

Elo 1,552$5/1M out

OpenAI

GPT-5.6 Sol

OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).

Elo 1,608$30/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
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 Pro (5)vsGPT-5.6 Sol (5)
Gemini 3 Pro: 5W (50%)Overall: Even matchupGPT-5.6 Sol: 5W (50%)
← Gemini 3 ProGPT-5.6 Sol →
GPT-5.6 Sol (5/5)

Intelligence & Reasoning

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

Preference Elo
1,552vs1,608
Coding Elo
1,548vs1,602
SWE-bench
72.4%vs77.6%
LiveBench
70.6%vs73.9%
GPQA Diamond
83.6%vs86.8%
Gemini 3 Pro: 0WGPT-5.6 Sol: 5W
Gemini 3 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
92 tok/svs84 tok/s
Time to first token
220 msvs270 ms
Gemini 3 Pro: 2WGPT-5.6 Sol: 0W
Gemini 3 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$5/1Mvs$30/1M
Input price
$1.25/1Mvs$5/1M
Context window
2Mvs1.1M
Gemini 3 Pro: 3WGPT-5.6 Sol: 0W
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 AdvantageEven 3–3
Preference Elo

GPT-5.6 Sol

56 pts advantage

Throughput Speed

Gemini 3 Pro

8 tok/s faster

Price Efficiency

Gemini 3 Pro

$25.00/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,552
EloHigh is better
1,608+4%
Code Elo
High is better
1,548
Code EloHigh is better
1,602+3%
LiveBench
High is better
70.6%
LiveBenchHigh is better
73.9%+5%
SWE-bench
High is better
72.4%
SWE-benchHigh is better
77.6%+7%
GPQA
High is better
83.6%
GPQAHigh is better
86.8%+4%
TTFT
Low is better
+23%220 ms
TTFTLow is better
270 ms
Speed
High is better
+10%92 tok/s
SpeedHigh is better
84 tok/s
In $
Low is better
+300%$1.25/1M
In $Low is better
$5/1M
Out $
Low is better
+500%$5/1M
Out $Low is better
$30/1M
Context
High is better
+90%2M
ContextHigh is better
1.1M
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 81% with Gemini 3 Pro
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 Pro$118.75 / mo
In: $43.75Out: $75.00
GPT-5.6 Sol$625.00 / mo
In: $175.00Out: $450.00
Estimated Cost Delta

Gemini 3 Pro is estimated to save $506.25/month ($6,075/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

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

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Sol

Higher SWE-bench (77.6%).

High-volume chatGemini 3 Pro

Lower output list price ($5/1M).

Voice / low-latency UIGemini 3 Pro

Lower TTFT (220 ms).

Long-document RAGGemini 3 Pro

Larger window (2M).

Screenshots / visionGPT-5.6 Sol

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5.6 SolHigher SWE-bench (77.6%).
High-volume chatGemini 3 ProLower output list price ($5/1M).
Voice / low-latency UIGemini 3 ProLower TTFT (220 ms).
Long-document RAGGemini 3 ProLarger window (2M).
Screenshots / visionGPT-5.6 SolBoth accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

compareJul 24, 2026

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 9, 2026

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Jul 9 2026 family; Jul 30 price update left Sol unchanged. This is the GPT side of Claude vs GPT.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/gemini-3-pro-vs-gpt-5-6-sol/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Google

Gemini 3 Pro

Elo 1,552
LiveBench70.6%
SWE-bench72.4%
Speed92 tok/s
Output cost$5/1M
OpenAI

GPT-5.6 Sol

Elo 1,608
LiveBench73.9%
SWE-bench77.6%
Speed84 tok/s
Output cost$30/1M

Frequently Asked Questions

Which is better overall, Gemini 3 Pro or GPT-5.6 Sol?
GPT-5.6 Sol has the higher preference Elo in our latest snapshot (1,608). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3 Pro or GPT-5.6 Sol?
GPT-5.6 Sol leads SWE-bench at 77.6% vs 72.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Gemini 3 Pro output tokens are $5/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3 Pro or GPT-5.6 Sol?
Gemini 3 Pro has the lower time-to-first-token (220 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 3 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 3 Pro and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 12, 2026

    Grok vs ChatGPT: price and Elo, not a personality contest

  • compare · Jul 24, 2026

    Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 9, 2026

    GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Similar Head-to-Head Comparisons

All Gemini 3 Pro matchups →|All GPT-5.6 Sol matchups →
Gemini 3 Pro vs Gemini 2.5 Pro (previous gemini-pro)Gemini 3 Pro vs Gemini 3.6 Pro (next gemini-pro)GPT-5.6 Sol vs GPT-5 (previous gpt-flagship)GPT-5.6 Terra vs Gemini 3 ProGPT-5 vs Gemini 3 ProGPT-4.5 Orion vs Gemini 3 Pro