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

Google: Gemini 3.1 Pro Preview (batch) vs GPT-4.5 Orion benchmark

Name: Google: Gemini 3.1 Pro Preview (batch) vs GPT-4.5 Orion AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Google: Gemini 3.1 Pro Preview (batch) (Google) and GPT-4.5 Orion (OpenAI) using the latest snapshots we have as of Aug 17, 2026. Google: Gemini 3.1 Pro Preview (batch) wins on output price at $6/1M. Google: Gemini 3.1 Pro Preview (batch) 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Google

Google: Gemini 3.1 Pro Preview (batch)

Auto-discovered from OpenRouter (google/gemini-3.1-pro-preview:batch). Preview until a second source matches.

$6/1M out

OpenAI

GPT-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M 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 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs 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 (batch) (3)vsGPT-4.5 Orion (7)

Google: Gemini 3.1 Pro Preview (batch): 3W (30%)Overall: GPT-4.5 OrionGPT-4.5 Orion: 7W (70%)

← Google: Gemini 3.1 Pro Preview (batch)GPT-4.5 Orion →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,540

Coding Elo

—vs1,520

SWE-bench

—vs71%

LiveBench

—vs68.5%

GPQA Diamond

—vs84%

Google: Gemini 3.1 Pro Preview (batch): 0WGPT-4.5 Orion: 5W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs60 tok/s

Time to first token

—vs350 ms

Google: Gemini 3.1 Pro Preview (batch): 0WGPT-4.5 Orion: 2W

Google: Gemini 3.1 Pro Preview (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$6/1Mvs$150/1M

Input price

$1/1Mvs$75/1M

Context window

1Mvs128k

Google: Gemini 3.1 Pro Preview (batch): 3WGPT-4.5 Orion: 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 AdvantageGPT-4.5 Orion 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Google: Gemini 3.1 Pro Preview (batch)

$144.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,540

Code Elo

High is better

—

Code EloHigh is better

1,520

LiveBench

High is better

—

LiveBenchHigh is better

68.5%

SWE-bench

High is better

—

SWE-benchHigh is better

71%

GPQA

High is better

—

GPQAHigh is better

84%

TTFT

Low is better

—

TTFTLow is better

350 ms

Speed

High is better

—

SpeedHigh is better

60 tok/s

In $

Low is better

+7400%$1.00 / 1M

In $Low is better

$75.00 / 1M

Out $

Low is better

+2400%$6.00 / 1M

Out $Low is better

$150.00 / 1M

Context

High is better

+719%1M

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 97% with Google: Gemini 3.1 Pro Preview (batch)

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 (batch)$125.00 / mo

In: $35Out: $90

GPT-4.5 Orion$4,875.00 / mo

In: $2,625Out: $2,250

Estimated Cost Delta

Google: Gemini 3.1 Pro Preview (batch) is estimated to save $4,750.00/month ($57,000/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemini 3.1 Pro Preview (batch):Pick Google: Gemini 3.1 Pro Preview (batch) when you are optimizing output cost.
2
Google: Gemini 3.1 Pro Preview (batch):Pick Google: Gemini 3.1 Pro Preview (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.1 Pro Preview (batch)

Lower output list price ($6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)

Larger window (1M).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.1 Pro Preview (batch)	Lower output list price ($6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.1 Pro Preview (batch)	Larger window (1M).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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-batch-vs-gpt-4-5/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Google

Google: Gemini 3.1 Pro Preview (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$6/1M

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Pro Preview (batch) or GPT-4.5 Orion?: 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 (batch) or GPT-4.5 Orion?: 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?: Google: Gemini 3.1 Pro Preview (batch) output tokens are $6/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.1 Pro Preview (batch) or GPT-4.5 Orion?: We do not have TTFT for both models.
Which has the larger context window?: Google: Gemini 3.1 Pro Preview (batch) accepts 1M tokens versus 128k.
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 (batch) and GPT-4.5 Orion Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemini 3.1 Pro Preview (batch) matchups →|All GPT-4.5 Orion matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Gemini 3 Pro vs GPT-4.5 Orion Gemini 3 Flash vs GPT-4.5 Orion Gemini 2.0 Flash Thinking vs GPT-4.5 Orion GPT-5.6 Sol vs GPT-4.5 Orion

Google: Gemini 3.1 Pro Preview (batch) vs GPT-4.5 Orion benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.1 Pro Preview (batch) (3)vsGPT-4.5 Orion (7)

Google: Gemini 3.1 Pro Preview (batch): 3W (30%)Overall: GPT-4.5 OrionGPT-4.5 Orion: 7W (70%)

← Google: Gemini 3.1 Pro Preview (batch)GPT-4.5 Orion →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,540

Coding Elo

—vs1,520

SWE-bench

—vs71%

LiveBench

—vs68.5%

GPQA Diamond

—vs84%

Google: Gemini 3.1 Pro Preview (batch): 0WGPT-4.5 Orion: 5W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs60 tok/s

Time to first token

—vs350 ms

Google: Gemini 3.1 Pro Preview (batch): 0WGPT-4.5 Orion: 2W

Google: Gemini 3.1 Pro Preview (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$6/1Mvs$150/1M

Input price

$1/1Mvs$75/1M

Context window

1Mvs128k

Google: Gemini 3.1 Pro Preview (batch): 3WGPT-4.5 Orion: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.1 Pro Preview (batch)

Lower output list price ($6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)

Larger window (1M).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.1 Pro Preview (batch)	Lower output list price ($6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.1 Pro Preview (batch)	Larger window (1M).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Pro Preview (batch) or GPT-4.5 Orion?

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 (batch) or GPT-4.5 Orion?

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?

Google: Gemini 3.1 Pro Preview (batch) output tokens are $6/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, Google: Gemini 3.1 Pro Preview (batch) or GPT-4.5 Orion?

We do not have TTFT for both models.

Which has the larger context window?

Google: Gemini 3.1 Pro Preview (batch) accepts 1M tokens versus 128k.

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 (batch) and GPT-4.5 Orion Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.