Models

Grok 4.5 vs Kimi K2.5

Compare Grok 4.5 from Grok and Kimi K2.5 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GrokGrok 4.5Moonshot AIKimi K2.5
Grok logo
Grok 4.5
Grok · text, image → text

Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.

Input$2 /M
Output$6 /M
Cache read$0.5 /M
Moonshot AI logo
Kimi K2.5
Moonshot AI · text, image, video → text

Kimi K2.5 is the smartest model of Kimi to date, achieving open-source state-of-the-art (SoTA) performance in Agent, coding, visual understanding, and a series of general intelligent tasks. At the same time, Kimi K2.5 is also the most versatile model of Kimi so far, with a native multimodal architecture design that supports both visual and text input, thinking and non-thinking modes, as well as dialogue and Agent tasks.

Input$0.6 /M
Output$3 /M
Cache read$0.105 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Grok 4.5
Kimi K2.5
Input /M
$2
$0.6
Output /M
$6
$3
Cache read /M
$0.5
$0.105
Context length
500,000
256,000
Max output
500,000
0
Time to First Token
2.8 s
0.8 s
Throughput
31.5 tok/s
25.5 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
thinkingfunction callingstructured outputs
API Formats
Released
July 2026
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Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

grok-4.5kimi-k2.5

Tokens / day

-

Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

grok-4.5kimi-k2.5

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
grok-4.5kimi-k2.5
1400144014801520
Overall
14511471
Coding
15021523
Math
14711479
Hard prompts
14721495
Instruction following
14391466
Multi-turn
14521476
Creative writing
14221451
Longer query
14591487
Chinese
14991512
English
14611476
Vision
grok-4.5kimi-k2.5
1220126013001340
Overall
12501282
OCR
12631294
Diagram
12781319
Homework
12891324
WebDev Arena
grok-4.5kimi-k2.5
1400146015201580
Overall
14361556
React
14291559
HTML
14281571
Gaming
14271589
Simulations
14291585
Data analytics
14241521

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Kimi K2.5
$81.00 /mo
Grok 4.5
$210 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Grok 4.5, Kimi K2.5?

Kimi K2.5: $3/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; Kimi K2.5: 1502 (LMArena coding leaderboard).

Which responds faster?

Kimi K2.5: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Grok 4.5 accepts 500,000 and Kimi K2.5 accepts 256,000 input tokens.

Which one generates tokens faster?

Grok 4.5 at 31.5 tok/s and Kimi K2.5 at 25.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Kimi K2.5 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Grok 4.5 and Kimi K2.5 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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