The Known Good Updated 25 Jul 2026
Google: Gemini 3.5 Flash vs gpt-4.5-preview ·Google vs OpenAI

Google: Gemini 3.5 Flash vs gpt-4.5-preview — head-to-head comparison

Google: Gemini 3.5 Flash profile gpt-4.5-preview profile All comparisons
Google: Gemini 3.5 Flash — Google
Quality
#3 of 61
95based on 3 of 6 evaluations
Known Good Index
Speed
#31 of 316
119.0
Output tokens per second
Price
#257 of 340
$3.38
Blended per 1M tokens
In $1.50 · Out $9.00
Cache hit price
#127 of 206
$0.15
per 1M tokens (−90%)
Context
#46 of 345
1.05M
tokens (~1,600 pages)
gpt-4.5-preview — OpenAI
Quality
#43 of 61
47based on 4 of 6 evaluations
Known Good Index
Speed
unranked
Output tokens per second
Price
unranked
Blended per 1M tokens
Cache hit price
unranked
per 1M tokens
Context
unranked
tokens
Summary

On the Known Good Index, Google: Gemini 3.5 Flash scores 95 and gpt-4.5-preview scores 47 — a 48-point lead for Google: Gemini 3.5 Flash. They share 2 published evaluations, with Google: Gemini 3.5 Flash ahead on 2 and gpt-4.5-preview ahead on 0.

Published pricing is tracked for Google: Gemini 3.5 Flash only, at $3.38 per 1M tokens blended.

Google: Gemini 3.5 Flash is proprietary; gpt-4.5-preview is proprietary. 2 tracked hosts serve one or both.

Generated from tracked data on 25 Jul 2026 · how these comparisons are computed →

At a glance
MetricGoogle: Gemini 3.5 Flashgpt-4.5-preview
Known Good Index 95 based on 3 of 6 evaluations 47 based on 4 of 6 evaluations
Blended $/1M $3.38
Output tok/s 119
Context window 1.05M
Providers 2 0
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Quality

Known Good Index and the capability indices, side by side

IndicesComponents
Index scores

Each index is min-max normalised across tracked models and scaled 0–100 from published evaluations. We do not run these evaluations.

MetricGoogle: Gemini 3.5 Flashgpt-4.5-preview
Known Good Index 95 47
Mathematics Index 96 59
Science Index 98 68
Reasoning Index 48
Agentic Index 92
Openness Index 5 5
The Known Good

Quality Breakdown

Every evaluation both models report a published score for

Evaluations both models report

Bar = Google: Gemini 3.5 Flash · marker = gpt-4.5-preview · scores ingested from Epoch AI (CC-BY 4.0)

GPQA Diamond93 / 69
MATH / AIME96 / 38

Right-hand figures read Google: Gemini 3.5 Flash / gpt-4.5-preview. Google: Gemini 3.5 Flash leads on 2 of 2, gpt-4.5-preview on 0.

The Known Good

Arena Elo

Human preference rating from blind pairwise votes

Arena ratings

Elo from blind pairwise votes, ingested from Arena. Higher is better.

Neither model currently appears in an arena we ingest.

The Known Good

Price & Cost

Published API pricing by token type

Per token typeCache discount
Published pricing

USD per 1M tokens. Blended is a 3:1 input:output mix. Live from OpenRouter, cross-checked against models.dev. Lower is better.

MetricGoogle: Gemini 3.5 Flashgpt-4.5-preview
Input $/1M $1.50
Output $/1M $9.00
Blended $/1M $3.38
Cache read $/1M $0.150
The Known Good
We publish blended price rather than cost-per-task. Cost-per-task requires token counts from an evaluation suite we do not run. Blended price is computed from published rates and is fully reproducible — see the pricing methodology.

Context Window

Maximum input accepted and maximum output emitted

Context and output limits

Provider-declared limits, from metadata via models.dev and OpenRouter. Higher is better.

MetricGoogle: Gemini 3.5 Flashgpt-4.5-preview
Context window 1.05M
Max output tokens 66k
The Known Good

Speed & Latency

Median throughput and time to first token across hosting providers

Output speedTime to first token
Throughput and latency

Medians across all tracked providers, derived from OpenRouter endpoint telemetry.

MetricGoogle: Gemini 3.5 Flashgpt-4.5-preview
Output tokens/s 119
Time to first token 1.7s
The Known Good

Providers

Which hosts serve each model, and at what price and speed

2 hosts
Full provider benchmarks →
Provider Google: Gemini 3.5 Flash blendedGoogle: Gemini 3.5 Flash tok/s gpt-4.5-preview blendedgpt-4.5-preview tok/s
Google AI Studio $1.69 205
Google · first party $1.69 121

Per-host pricing and telemetry from OpenRouter. A dash means that host does not serve that model.

The Known Good
Sources for this page
Pricing & providers — OpenRouter Metadata — models.dev Benchmarks — Epoch AI (CC-BY 4.0) Full attribution →