Models

grok-4.20-beta-0309-non-reasoning vs Kimi K3

Output tokens cost $6.00 per million on grok-4.20-beta-0309-non-reasoning and $15.00 per million on Kimi K3. Input tokens cost $2.00 per million on grok-4.20-beta-0309-non-reasoning and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.20 per million on grok-4.20-beta-0309-non-reasoning and $0.30 per million on Kimi K3. Context lengths are 2,000,000 tokens on grok-4.20-beta-0309-non-reasoning and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.9s on grok-4.20-beta-0309-non-reasoning and 0.9s on Kimi K3. Measured output throughput is 89.0 tok/s on grok-4.20-beta-0309-non-reasoning and 73.1 tok/s on Kimi K3.

Grokgrok-4.20-beta-0309-non-reasoningMoonshot AIKimi K3
Grok logo
grok-4.20-beta-0309-non-reasoning
Grok · text, image → text

Grok 4.20 Beta is our latest flagship model, offering industry-leading speed and agent tool-invocation capabilities. It combines the lowest hallucination rate on the market with strict prompt adherence, enabling it to consistently deliver precise and factual responses.

Input$2.00 /M
Output$6.00 /M
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

Pricing & Specifications

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

grok-4.20-beta-0309-non-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
0.9 s
0.9 s
Throughput
89.0 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
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-beta-0309-non-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-beta-0309-non-reasoningkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

grok-4.20-beta-0309-non-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-beta-0309-non-reasoning, Kimi K3?

grok-4.20-beta-0309-non-reasoning: $6.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Kimi K3: 0.9s 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-beta-0309-non-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-beta-0309-non-reasoning and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

grok-4.20-beta-0309-non-reasoning at 89.0 tok/s and Kimi K3 at 73.1 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-beta-0309-non-reasoning accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call grok-4.20-beta-0309-non-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.

Popular comparisons

Related model match-ups readers also look at.