The Known Good Updated 25 Oct 2026 Subscribe
Google: Gemini 3.1 Pro Preview vs OpenAI: gpt-oss-120b ·Google vs OpenAI

Google: Gemini 3.1 Pro Preview vs OpenAI: gpt-oss-120b — head-to-head comparison

Google: Gemini 3.1 Pro Preview profile OpenAI: gpt-oss-120b profile All comparisons
Google: Gemini 3.1 Pro Preview — Google
Quality
#4 of 65
93based on 4 of 7 evaluations
Known Good Index
Speed
#98 of 345
98.9
Output tokens per second
Price
#450 of 526
$4.50
Blended per 1M tokens
In $2.00 · Out $12.00
Cache hit price
#307 of 412
$0.20
per 1M tokens (−90%)
Context
#94 of 575
1.05M
tokens (~1,600 pages)
OpenAI: gpt-oss-120b — OpenAI
Quality
#44 of 65
61based on 3 of 7 evaluations
Known Good Index
Speed
#24 of 345
190.1
Output tokens per second
Price
#132 of 526
$0.26
Blended per 1M tokens
In $0.15 · Out $0.60
Cache hit price
#197 of 412
$0.075
per 1M tokens (−50%)
Context
#462 of 575
131k
tokens (~200 pages)
Summary

On the Known Good Index, Google: Gemini 3.1 Pro Preview scores 93 and OpenAI: gpt-oss-120b scores 61 — a 32-point lead for Google: Gemini 3.1 Pro Preview. They share 3 published evaluations, with Google: Gemini 3.1 Pro Preview ahead on 3 and OpenAI: gpt-oss-120b ahead on 0.

Blended pricing is $4.50 per 1M tokens for Google: Gemini 3.1 Pro Preview and $0.26 for OpenAI: gpt-oss-120b — OpenAI: gpt-oss-120b is about 17.1× cheaper.

Throughput is 99 tokens per second for Google: Gemini 3.1 Pro Preview and 190 for OpenAI: gpt-oss-120b, with time to first token at 3.8s and 0.6s. Google: Gemini 3.1 Pro Preview accepts 1.05M tokens of context against 131k.

Google: Gemini 3.1 Pro Preview is proprietary; OpenAI: gpt-oss-120b is open weights under Open weights (unrestricted). 23 tracked hosts serve one or both, and 1 serve both.

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

At a glance
MetricGoogle: Gemini 3.1 Pro PreviewOpenAI: gpt-oss-120b
Known Good Index 93 based on 4 of 7 evaluations 61 based on 3 of 7 evaluations
Blended $/1M $4.50 $0.26
Output tok/s 99 190
Context window 1.05M 131k
Providers 2 22
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Quality

Known Good Index and the capability indices, side by side

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 3.1 Pro PreviewOpenAI: gpt-oss-120b
Known Good Index 93 61
Reasoning Index 91 —
Openness Index 5 60
The Known Good

Quality Breakdown

Every evaluation both models report a published score for

Evaluations both models report

Bar = Google: Gemini 3.1 Pro Preview · marker = OpenAI: gpt-oss-120b · scores ingested from Epoch AI (CC-BY 4.0)

GPQA Diamond94 / 76
Mock AIME 2024–2596 / 89
Terminal-Bench80 / 19

Right-hand figures read Google: Gemini 3.1 Pro Preview / OpenAI: gpt-oss-120b. Google: Gemini 3.1 Pro Preview leads on 3 of 3, OpenAI: gpt-oss-120b 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.

MetricGoogle: Gemini 3.1 Pro PreviewOpenAI: gpt-oss-120b
Text Arena 1,480 1,366
Text Arena (style controlled) 1,487 1,352
The Known Good

Price & Cost

Published API pricing by token type

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 3.1 Pro PreviewOpenAI: gpt-oss-120b
Input $/1M $2.00 $0.15
Output $/1M $12.00 $0.60
Blended $/1M $4.50 $0.26
Cache read $/1M $0.200 $0.075
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 3.1 Pro PreviewOpenAI: gpt-oss-120b
Context window 1.05M 131k
Max output tokens 66k 66k
The Known Good

Speed & Latency

Mean throughput and time to first token across hosting providers, over successful measurements from the last 48 hours

Throughput and latency

Means across all tracked providers over successful measurements from the last 48 hours, derived from OpenRouter endpoint telemetry.

MetricGoogle: Gemini 3.1 Pro PreviewOpenAI: gpt-oss-120b
Output tokens/s 99 190
Time to first token 3.8s 0.6s
The Known Good

Providers

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

23 hosts · 1 serve both
Full provider benchmarks →
Provider Google: Gemini 3.1 Pro Preview blendedGoogle: Gemini 3.1 Pro Preview tok/s OpenAI: gpt-oss-120b blendedOpenAI: gpt-oss-120b tok/s
Google AI Studio $2.25 116 — —
Google · first party $2.25 75 $0.16 84
Cerebras — — $0.45 928
SambaNova — — $0.34 509
Crusoe — — $0.10 373
Groq — — $0.26 352
Nebius — — $0.26 340
Amazon Bedrock · first party — — $0.26 247
Parasail — — $0.26 220
Novita — — $0.10 202
BaseTen — — $0.20 197
Phala — — $0.26 186
Mara — — $0.30 180
Together — — $0.26 157
CoreWeave — — $0.07 114
AkashML — — $0.07 97
SiliconFlow — — $0.26 81
DigitalOcean — — $0.15 70
Near AI — — $0.06 61
DeepInfra — — $0.07 59
Venice — — $0.06 43
Mancer 2 — — $0.10 41
DekaLLM — — $0.07 37

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)Elo — Arena Full attribution →