The Known Good Updated 8 Oct 2026 Subscribe
Google: Gemini 3.1 Pro Preview vs MoonshotAI: Kimi K2.6 ·Google vs Moonshot AI

Google: Gemini 3.1 Pro Preview vs MoonshotAI: Kimi K2.6 — head-to-head comparison

Google: Gemini 3.1 Pro Preview profile MoonshotAI: Kimi K2.6 profile All comparisons
Google: Gemini 3.1 Pro Preview — Google
Quality
#4 of 65
93based on 4 of 7 evaluations
Known Good Index
Speed
#67 of 356
109.5
Output tokens per second
Price
#426 of 504
$4.50
Blended per 1M tokens
In $2.00 · Out $12.00
Cache hit price
#274 of 384
$0.20
per 1M tokens (−90%)
Context
#61 of 550
1.05M
tokens (~1,600 pages)
MoonshotAI: Kimi K2.6 — Moonshot AI
Quality
#7 of 65
92based on 3 of 7 evaluations
Known Good Index
Speed
#274 of 356
42.2
Output tokens per second
Price
#261 of 504
$0.94
Blended per 1M tokens
In $0.43 · Out $2.45
Cache hit price
#224 of 384
$0.12
per 1M tokens (−72%)
Context
#321 of 550
262k
tokens (~400 pages)
Summary

On the Known Good Index, Google: Gemini 3.1 Pro Preview scores 93 and MoonshotAI: Kimi K2.6 scores 92, which puts them level. They share 2 published evaluations, with Google: Gemini 3.1 Pro Preview ahead on 1 and MoonshotAI: Kimi K2.6 ahead on 1.

Blended pricing is $4.50 per 1M tokens for Google: Gemini 3.1 Pro Preview and $0.94 for MoonshotAI: Kimi K2.6 — MoonshotAI: Kimi K2.6 is about 4.8× cheaper.

Throughput is 110 tokens per second for Google: Gemini 3.1 Pro Preview and 42 for MoonshotAI: Kimi K2.6, with time to first token at 3.4s and 1.9s. Google: Gemini 3.1 Pro Preview accepts 1.05M tokens of context against 262k.

Google: Gemini 3.1 Pro Preview is proprietary; MoonshotAI: Kimi K2.6 is open weights under Open weights (unrestricted). 25 tracked hosts serve one or both.

Generated from tracked data on 8 Oct 2026 · how these comparisons are computed →

At a glance
MetricGoogle: Gemini 3.1 Pro PreviewMoonshotAI: Kimi K2.6
Known Good Index 93 based on 4 of 7 evaluations 92 based on 3 of 7 evaluations
Blended $/1M $4.50 $0.94
Output tok/s 110 42
Context window 1.05M 262k
Providers 2 23
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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 PreviewMoonshotAI: Kimi K2.6
Known Good Index 93 92
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 = MoonshotAI: Kimi K2.6 · scores ingested from Epoch AI (CC-BY 4.0)

GPQA Diamond94 / 91
Mock AIME 2024–2596 / 96

Right-hand figures read Google: Gemini 3.1 Pro Preview / MoonshotAI: Kimi K2.6. Google: Gemini 3.1 Pro Preview leads on 1 of 2, MoonshotAI: Kimi K2.6 on 1.

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 PreviewMoonshotAI: Kimi K2.6
Text Arena 1,480 1,455
Text Arena (style controlled) 1,487 1,461
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 PreviewMoonshotAI: Kimi K2.6
Input $/1M $2.00 $0.43
Output $/1M $12.00 $2.45
Blended $/1M $4.50 $0.94
Cache read $/1M $0.200 $0.120
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 PreviewMoonshotAI: Kimi K2.6
Context window 1.05M 262k
Max output tokens 66k 236k
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 PreviewMoonshotAI: Kimi K2.6
Output tokens/s 110 42
Time to first token 3.4s 1.9s
The Known Good

Providers

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

25 hosts
Full provider benchmarks →
Provider Google: Gemini 3.1 Pro Preview blendedGoogle: Gemini 3.1 Pro Preview tok/s MoonshotAI: Kimi K2.6 blendedMoonshotAI: Kimi K2.6 tok/s
Google · first party $2.25 112 — —
Google AI Studio $2.25 108 — —
CoreWeave — — $1.34 119
Together — — $2.02 119
BaseTen — — $1.71 113
ModelRun — — $1.38 103
AtlasCloud — — $1.71 98
Parasail — — $1.44 71
Inceptron — — $0.94 67
StreamLake — — $1.08 66
Crusoe — — $1.40 54
Novita — — $1.45 50
Baidu · first party — — $0.78 49
Moonshot AI · first party — — $1.71 40
Phala — — $1.97 38
Cloudflare — — $1.71 37
Chutes — — $1.09 33
Decart — — $1.06 33
Sail Research — — $1.75 27
SiliconFlow — — $1.43 27
DigitalOcean — — $1.03 16
DeepInfra — — $1.44 13
Venice — — $1.44 13
Fireworks — — $1.71 —
GMICloud — — $1.54 —

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 →