CompareLLM
CompareLLM.ai
Live
Leaderboard
Quality & Reasoning
Overall Arena EloPrimary

LMSYS crowd human preference ranking

Coding Elo & SWE-benchCode

Real GitHub issue software solve rate

LiveBench Reasoning

Contamination-free automated tests

GPQA Diamond

PhD-level science & domain knowledge

Speed & Token Cost
Throughput (tok/s)Speed

Output generation token rate

Time to First Token (TTFT)

Response latency for voice & chat loops

Output Price ($/1M tokens)

Cost per million generated tokens

Live Pareto Frontier Scatter

Quality vs Cost efficiency boundary

Models
Model Classes
Frontier ModelsProprietary

Opus 4.5, GPT-5, Gemini 2.0 Pro

Open-Weight CatalogApache/MIT

Llama 3.3, DeepSeek, Qwen 2.5

🇨🇳 Chinese LLMsCN

DeepSeek V3, Qwen, GLM-5, MiniMax

Browse All 40+ Models
Top Providers
Anthropic

Claude Opus 4.5, Sonnet 4.5, Haiku

OpenAI

GPT-5, GPT-4.5, GPT-4o, o3

DeepSeek

DeepSeek V3, R1 Reasoning

Google

Gemini 2.0 Pro, Flash, Thinking

Compare
Popular Head-to-Head ShowdownsView all 48+ pairs →
🇨🇳 DeepSeek V3 vs 🇺🇸 GPT-5

East vs West frontier battle

Sonnet 4.5 vs 🇨🇳 DeepSeek V3

Everyday developer favorite

🇨🇳 Qwen 2.5 vs 🇺🇸 Llama 3.3

Open-weights value clash

Claude Opus 4.5 vs GPT-5

Flagship proprietary duel

Open Interactive Comparison Matrix
Best of & Stacks
Best LLM Lists (2026)
Best Coding LLM

SWE-bench verified repository tests

Best Cheap LLM

Sub-$1/1M token value powerhouses

Fastest Low-Latency LLM

Sub-200ms TTFT for voice & live chat

Claude vs GPT Benchmark

Anthropic vs OpenAI head-to-head

Stack Engine Presets
Cheap Coding Agents

Budget repo bots with high SWE-bench

Lowest-Latency Chat

Fast interactive support loops

Open-Weight Reasoning

Self-hostable reasoning power

Explore All 11 Presets
Research & News
Intelligence & Telemetry
News & Benchmark BriefingsDispatches

Verified model promotions & price shifts

Hourly Benchmark ChangelogLive

Dated ingest audit trail with exact diffs

Evaluation Methodology

Standardized scoring formulas & harnesses

What is Arena Elo?

Understanding blind pairwise human ratings

…
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. Google: Gemini 3.1 Pro Preview Custom Tools vs GPT-5

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

Google: Gemini 3.1 Pro Preview Custom Tools vs GPT-5 benchmark

This page compares Google: Gemini 3.1 Pro Preview Custom Tools (Google) and GPT-5 (OpenAI) using the latest snapshots we have as of Aug 17, 2026. GPT-5 wins on output price at $10/1M. Google: Gemini 3.1 Pro Preview Custom Tools has the larger context window (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

Google: Gemini 3.1 Pro Preview Custom Tools vs GPT-5 is a dated snapshot, not a lab score. GPT-5 is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

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

OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.

Elo 1,558$10/1M 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.

Google: Gemini 3.1 Pro Preview Custom Tools (1)vsGPT-5 (9)
Google: Gemini 3.1 Pro Preview Custom Tools: 1W (10%)Overall: GPT-5GPT-5: 9W (90%)
← Google: Gemini 3.1 Pro Preview Custom ToolsGPT-5 →
GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,558
Coding Elo
—vs1,540
SWE-bench
—vs68.4%
LiveBench
—vs69.8%
GPQA Diamond
—vs85.2%
Google: Gemini 3.1 Pro Preview Custom Tools: 0WGPT-5: 5W
GPT-5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs78 tok/s
Time to first token
—vs290 ms
Google: Gemini 3.1 Pro Preview Custom Tools: 0WGPT-5: 2W
GPT-5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$12/1Mvs$10/1M
Input price
$2/1Mvs$1.25/1M
Context window
1Mvs400k
Google: Gemini 3.1 Pro Preview Custom Tools: 1WGPT-5: 2W
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 5/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Price Efficiency

GPT-5

$2.00/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
—
EloHigh is better
1,558
Code Elo
High is better
—
Code EloHigh is better
1,540
LiveBench
High is better
—
LiveBenchHigh is better
69.8%
SWE-bench
High is better
—
SWE-benchHigh is better
68.4%
GPQA
High is better
—
GPQAHigh is better
85.2%
TTFT
Low is better
—
TTFTLow is better
290 ms
Speed
High is better
—
SpeedHigh is better
78 tok/s
In $
Low is better
$2/1M
In $Low is better
$1.25/1M+60%
Out $
Low is better
$12/1M
Out $Low is better
$10/1M+20%
Context
High is better
+162%1M
ContextHigh is better
400k
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 23% with GPT-5
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: $70.00Out: $180.00
GPT-5$193.75 / mo
In: $43.75Out: $150.00
Estimated Cost Delta

GPT-5 is estimated to save $56.25/month ($675/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5:Pick GPT-5 when you are optimizing output cost.
  • 2
    Google: Gemini 3.1 Pro Preview Custom Tools:Pick Google: Gemini 3.1 Pro Preview Custom Tools 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

Lower output list price ($10/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Pro Preview Custom Tools

Larger window (1M).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGPT-5Lower output list price ($10/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Gemini 3.1 Pro Preview Custom ToolsLarger window (1M).
Screenshots / visionGPT-5GPT-5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Still a common compare target. 5.6 Sol replaced it as the buy; GPT-5 stays for old URLs.

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-3-1-pro-preview-customtools-vs-gpt-5/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

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

Elo 1,558
LiveBench69.8%
SWE-bench68.4%
Speed78 tok/s
Output cost$10/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Pro Preview Custom Tools or GPT-5?
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?
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 output tokens are $10/1M 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?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 3.1 Pro Preview Custom Tools accepts 1M tokens versus 400k.
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 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 (2025) remains the legacy OpenAI flagship baseline

Similar Head-to-Head Comparisons

All Google: Gemini 3.1 Pro Preview Custom Tools matchups →|All GPT-5 matchups →
GPT-5 vs GPT-4.5 Orion (previous gpt-flagship)GPT-5 vs GPT-5.6 Sol (next gpt-flagship)Gemini 3 Pro vs GPT-5Gemini 3 Flash vs GPT-5Gemini 2.0 Flash Thinking vs GPT-5GPT-5.6 Terra vs GPT-5