Compare/Kimi K2 vs Grok 4.3 (Non-reasoning)

Kimi K2vsGrok 4.3 (Non-reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Kimi

Kimi K2

Input
$0.585/M
Output
$2.4/M
Speed
34 tok/s
TTFT
1.11s
xAI

Grok 4.3 (Non-reasoning)

Input
$1.25/M
Output
$2.5/M
Speed
72 tok/s
TTFT
0.57s

Winner by Category

Cheaper
Kimi K2
Faster (tok/s)
Grok 4.3 (Non-reasoning)
Lower Latency
Grok 4.3 (Non-reasoning)
Benchmarks (7-5)
Kimi K2

Pricing Comparison

MetricKimi K2Grok 4.3 (Non-reasoning)
Input ($/M tokens)$0.585$1.25
Output ($/M tokens)$2.4$2.5
Cost for 1M input + 100K output tokens:
Kimi K2$0.82
Grok 4.3 (Non-reasoning)$1.50

Speed Comparison

Output Speed (tokens/s) — higher is better
Kimi K2
34 tok/s
Grok 4.3 (Non-reasoning)
72 tok/s
Time to First Token (seconds) — lower is better
Kimi K2
1.11s
Grok 4.3 (Non-reasoning)
0.57s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
26.331.0
Coding Index
22.125.1
Math Index
57.0
GPQA Diamond
76.6%65.8%
MMLU-Pro
82.4%
LiveCodeBench
55.6%
AIME 2025
57.0%
MATH-500
97.1%
Humanity's Last Exam
7.0%6.5%
SciCode
34.5%37.4%
IFBench
41.5%47.6%
TerminalBench
15.9%18.9%
Kimi K27 wins
5 winsGrok 4.3 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Kimi K2 or Grok 4.3 (Non-reasoning)?

Kimi K2 is cheaper overall. Its blended price (3:1 input/output ratio) is $1.04/M tokens vs $1.56/M for Grok 4.3 (Non-reasoning).

Which model performs better on benchmarks?

Kimi K2 wins 7 out of 12 benchmarks compared to 5 for Grok 4.3 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.3 (Non-reasoning) generates tokens faster at 72 tok/s vs 34 tok/s. However, Grok 4.3 (Non-reasoning) has lower time-to-first-token (0.57s vs 1.11s).

When should I use Kimi K2 vs Grok 4.3 (Non-reasoning)?

Choose based on your priorities: Kimi K2 for lower cost, Kimi K2 for stronger benchmark performance, and Grok 4.3 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.