The Known Good Updated 25 Jul 2026
Google: Gemini 2.5 Pro vs MoonshotAI: Kimi K2.6 ·Google vs Moonshot AI

Google: Gemini 2.5 Pro vs MoonshotAI: Kimi K2.6 — head-to-head comparison

Google: Gemini 2.5 Pro profile MoonshotAI: Kimi K2.6 profile All comparisons
Google: Gemini 2.5 Pro — Google
Quality
#29 of 61
64based on 4 of 6 evaluations
Known Good Index
Speed
#53 of 316
96.4
Output tokens per second
Price
#262 of 340
$3.44
Blended per 1M tokens
In $1.25 · Out $10.00
Cache hit price
#106 of 206
$0.12
per 1M tokens (−90%)
Context
#29 of 345
1.05M
tokens (~1,600 pages)
MoonshotAI: Kimi K2.6 — Moonshot AI
Quality
#7 of 61
93based on 3 of 6 evaluations
Known Good Index
Speed
#112 of 316
65.7
Output tokens per second
Price
#211 of 340
$1.16
Blended per 1M tokens
In $0.65 · Out $2.72
Cache hit price
#99 of 206
$0.11
per 1M tokens (−83%)
Context
#172 of 345
262k
tokens (~400 pages)
Summary

On the Known Good Index, Google: Gemini 2.5 Pro scores 64 and MoonshotAI: Kimi K2.6 scores 93 — a 29-point lead for MoonshotAI: Kimi K2.6. They share 3 published evaluations, with Google: Gemini 2.5 Pro ahead on 0 and MoonshotAI: Kimi K2.6 ahead on 3.

Blended pricing is $3.44 per 1M tokens for Google: Gemini 2.5 Pro and $1.16 for MoonshotAI: Kimi K2.6 — MoonshotAI: Kimi K2.6 is about 3.0× cheaper.

Throughput is 96 tokens per second for Google: Gemini 2.5 Pro and 66 for MoonshotAI: Kimi K2.6, with time to first token at 5.4s and 1.1s. Google: Gemini 2.5 Pro accepts 1.05M tokens of context against 262k.

Google: Gemini 2.5 Pro is proprietary; MoonshotAI: Kimi K2.6 is open weights under Open weights (unrestricted). 23 tracked hosts serve one or both.

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

At a glance
MetricGoogle: Gemini 2.5 ProMoonshotAI: Kimi K2.6
Known Good Index 64 based on 4 of 6 evaluations 93 based on 3 of 6 evaluations
Blended $/1M $3.44 $1.16
Output tok/s 96 66
Context window 1.05M 262k
Providers 2 21
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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 2.5 ProMoonshotAI: Kimi K2.6
Known Good Index 64 93
Coding Index 42
Mathematics Index 84 96
Science Index 89 95
Agentic Index 42 87
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 2.5 Pro · marker = MoonshotAI: Kimi K2.6 · scores ingested from Epoch AI (CC-BY 4.0)

GPQA Diamond85 / 91
MATH / AIME84 / 96
SWE-bench Verified58 / 77

Right-hand figures read Google: Gemini 2.5 Pro / MoonshotAI: Kimi K2.6. Google: Gemini 2.5 Pro leads on 0 of 3, MoonshotAI: Kimi K2.6 on 3.

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 2.5 ProMoonshotAI: Kimi K2.6
Text Arena 1,457 1,455
Text Arena (style controlled) 1,446 1,461
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 2.5 ProMoonshotAI: Kimi K2.6
Input $/1M $1.25 $0.65
Output $/1M $10.00 $2.72
Blended $/1M $3.44 $1.16
Cache read $/1M $0.125 $0.109
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 2.5 ProMoonshotAI: Kimi K2.6
Context window 1.05M 262k
Max output tokens 66k 262k
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 2.5 ProMoonshotAI: Kimi K2.6
Output tokens/s 96 66
Time to first token 5.4s 1.1s
The Known Good

Providers

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

23 hosts
Full provider benchmarks →
Provider Google: Gemini 2.5 Pro blendedGoogle: Gemini 2.5 Pro tok/s MoonshotAI: Kimi K2.6 blendedMoonshotAI: Kimi K2.6 tok/s
Google AI Studio $1.72 118
Google · first party $1.72 99
CoreWeave $1.34 156
Together $2.02 130
Decart $1.35 123
Fireworks $1.71 111
ModelRun $1.38 99
Crusoe $1.40 69
DeepInfra $1.44 57
Cloudflare $1.71 56
Venice $1.44 54
DigitalOcean $1.37 53
SiliconFlow $1.43 50
Chutes $1.37 49
AtlasCloud $1.71 44
StreamLake $1.54 44
Novita $1.45 43
Parasail $1.44 42
Moonshot AI · first party $1.71 40
Inceptron $1.30 39
Baidu · first party $1.16 32
BaseTen $1.71
Phala $1.97

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 →