The Known Good Updated 25 Jul 2026
Google: Gemma 3 27B vs OpenAI: GPT-5.1 ·Google vs OpenAI

Google: Gemma 3 27B vs OpenAI: GPT-5.1 — head-to-head comparison

Google: Gemma 3 27B profile OpenAI: GPT-5.1 profile All comparisons
Google: Gemma 3 27B — Google
Quality
#47 of 61
37based on 3 of 6 evaluations
Known Good Index
Speed
#262 of 316
24.4
Output tokens per second
Price
#64 of 340
$0.17
Blended per 1M tokens
In $0.08 · Out $0.45
Cache hit price
#62 of 206
$0.040
per 1M tokens (−50%)
Context
#171 of 345
262k
tokens (~400 pages)
OpenAI: GPT-5.1 — OpenAI
Quality
#20 of 61
74based on 6 of 6 evaluations
Known Good Index
Speed
#119 of 316
61.9
Output tokens per second
Price
#261 of 340
$3.44
Blended per 1M tokens
In $1.25 · Out $10.00
Cache hit price
#105 of 206
$0.12
per 1M tokens (−90%)
Context
#101 of 345
400k
tokens (~600 pages)
Summary

On the Known Good Index, Google: Gemma 3 27B scores 37 and OpenAI: GPT-5.1 scores 74 — a 37-point lead for OpenAI: GPT-5.1. They share 9 published evaluations, with Google: Gemma 3 27B ahead on 0 and OpenAI: GPT-5.1 ahead on 9.

Blended pricing is $0.17 per 1M tokens for Google: Gemma 3 27B and $3.44 for OpenAI: GPT-5.1 — Google: Gemma 3 27B is about 19.9× cheaper.

Throughput is 24 tokens per second for Google: Gemma 3 27B and 62 for OpenAI: GPT-5.1, with time to first token at 0.9s and 1.3s. Google: Gemma 3 27B accepts 262k tokens of context against 400k.

Google: Gemma 3 27B is open weights under Open weights (restricted use); OpenAI: GPT-5.1 is proprietary. 7 tracked hosts serve one or both.

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

At a glance
MetricGoogle: Gemma 3 27BOpenAI: GPT-5.1
Known Good Index 37 based on 3 of 6 evaluations 74 based on 6 of 6 evaluations
Blended $/1M $0.17 $3.44
Output tok/s 24 62
Context window 262k 400k
Providers 5 2
Jump to section

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: Gemma 3 27BOpenAI: GPT-5.1
Known Good Index 37 74
Coding Index — 68
Mathematics Index 47 89
Science Index 44 91
Reasoning Index 40 80
Agentic Index — 61
Openness Index 60 5
The Known Good

Quality Breakdown

Every evaluation both models report a published score for

Evaluations both models report

Bar = Google: Gemma 3 27B · marker = OpenAI: GPT-5.1 · scores ingested from Epoch AI (CC-BY 4.0), LiveBench (Apache-2.0)

GPQA Diamond49 / 88
MATH / AIME20 / 89
LiveBench50 / 79
LiveBench Coding40 / 72
LiveBench Data Analysis51 / 72
LiveBench Instruction Following75 / 93
LiveBench Language35 / 80
LiveBench Mathematics55 / 94
LiveBench Reasoning44 / 96

Right-hand figures read Google: Gemma 3 27B / OpenAI: GPT-5.1. Google: Gemma 3 27B leads on 0 of 9, OpenAI: GPT-5.1 on 9.

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.

MetricGoogle: Gemma 3 27BOpenAI: GPT-5.1
Text Arena — 1,422
Text Arena (style controlled) — 1,439
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: Gemma 3 27BOpenAI: GPT-5.1
Input $/1M $0.08 $1.25
Output $/1M $0.45 $10.00
Blended $/1M $0.17 $3.44
Cache read $/1M $0.040 $0.125
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: Gemma 3 27BOpenAI: GPT-5.1
Context window 262k 400k
Max output tokens 131k 128k
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: Gemma 3 27BOpenAI: GPT-5.1
Output tokens/s 24 62
Time to first token 0.9s 1.3s
The Known Good

Providers

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

7 hosts
Full provider benchmarks →
Provider Google: Gemma 3 27B blendedGoogle: Gemma 3 27B tok/s OpenAI: GPT-5.1 blendedOpenAI: GPT-5.1 tok/s
Parasail $0.17 54 — —
Novita $0.14 32 — —
DeepInfra $0.10 22 — —
Phala $0.23 15 — —
Nebius $0.15 12 — —
OpenAI · first party — — $1.72 82
Azure · first party — — $3.44 58

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)Benchmarks — LiveBench (Apache-2.0)Elo — Arena Full attribution →