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Grok 4 20 (reasoning) vs Kimi K3

Compare Grok 4 20 (reasoning) from Grok and Kimi K3 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 20 (reasoning)Moonshot AIKimi K3
+ Add model · 2/4
Grok logo
Grok 4 20 (reasoning)
Grok · text, image → text

Grok 4.2 is xAI’s latest large language model, built for strong reasoning, multimodal understanding, and enterprise use. It improves instruction following, honesty, and calibration over earlier Grok versions, while supporting both single‑agent and multi‑agent workflows. Designed as a general‑purpose, truth‑seeking assistant, Grok 4.2 is well suited for research, analysis, coding, and complex professional tasks when deployed with appropriate guardrails.

Input$2.00 /M
Output$6.00 /M
Details
Moonshot AI logo
Kimi K3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3.00 /M
Output$15.00 /M
Details

Pricing & Specifications

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

Grok 4 20 (reasoning)
Kimi K3
Input /M
$2.00
$3.00
Output /M
$6.00
$15.00
Cache read /M
$0.20
$0.30
Context length
2,000,000
1,048,576
Max output
2,000,000
1,048,576
Time to First Token
0.5 s
0.9 s
Throughput
31.0 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
-
-

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-4-20-reasoningkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

grok-4-20-reasoningkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
grok-4-20-reasoningkimi-k3
1420146015001540
Overall
14731486
Coding
15121531
Math
14701470
Hard prompts
14891505
Instruction following
14491479
Multi-turn
14821499
Creative writing
14471470
Longer query
14641502
Chinese
15031527
English
14781491

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.

Grok 4 20 (reasoning)
$210 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: Grok 4 20 (reasoning), Kimi K3?

Grok 4 20 (reasoning): $6.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; Grok 4 20 (reasoning): 1512 (LMArena coding leaderboard).

Which responds faster?

Grok 4 20 (reasoning): 0.5s 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 20 (reasoning) accepts 2,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 2,000,000 tokens on Grok 4 20 (reasoning) and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and Grok 4 20 (reasoning) at 31.0 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 20 (reasoning) accepts text and image input and supports thinking, tool calling, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Grok 4 20 (reasoning) and Kimi K3 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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