Compare/Motif-2-12.7B-Reasoning vs Grok-1

Motif-2-12.7B-ReasoningvsGrok-1

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

Motif Technologies

Motif-2-12.7B-Reasoning

Input
$0/M
Output
$0/M
Speed
TTFT
xAI

Grok-1

Input
$0/M
Output
$0/M
Speed
TTFT

Winner by Category

Cheaper
Tie
Faster (tok/s)
Tie
Lower Latency
Tie
Benchmarks (11-0)
Motif-2-12.7B-Reasoning

Pricing Comparison

MetricMotif-2-12.7B-ReasoningGrok-1
Input ($/M tokens)$0$0
Output ($/M tokens)$0$0
Cost for 1M input + 100K output tokens:
Motif-2-12.7B-Reasoning$0.00
Grok-1$0.00

Speed Comparison

Speed data not available for these models.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
19.111.7
Coding Index
11.9
Math Index
80.3
GPQA Diamond
69.5%
MMLU-Pro
79.6%
LiveCodeBench
65.1%
AIME 2025
80.3%
MATH-500
Humanity's Last Exam
8.2%
SciCode
28.2%
IFBench
57.0%
TerminalBench
3.8%
Motif-2-12.7B-Reasoning11 wins
0 winsGrok-1

Frequently Asked Questions

Which is cheaper, Motif-2-12.7B-Reasoning or Grok-1?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Motif-2-12.7B-Reasoning wins 11 out of 12 benchmarks compared to 0 for Grok-1. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Both models have comparable generation speeds.

When should I use Motif-2-12.7B-Reasoning vs Grok-1?

Choose based on your priorities: both are similarly priced, Motif-2-12.7B-Reasoning for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.