Compare/Nova 2.0 Omni (medium) vs Grok 4.3 (low)

Nova 2.0 Omni (medium)vsGrok 4.3 (low)

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

Amazon

Nova 2.0 Omni (medium)

Input
$0.3/M
Output
$2.5/M
Speed
TTFT
SpaceXAI

Grok 4.3 (low)

Input
$1.25/M
Output
$2.5/M
Speed
99 tok/s
TTFT
7.92s

Winner by Category

Cheaper
Nova 2.0 Omni (medium)
Faster (tok/s)
Grok 4.3 (low)
Lower Latency
Nova 2.0 Omni (medium)
Benchmarks (4-6)
Grok 4.3 (low)

Pricing Comparison

MetricNova 2.0 Omni (medium)Grok 4.3 (low)
Input ($/M tokens)$0.3$1.25
Output ($/M tokens)$2.5$2.5
Cost for 1M input + 100K output tokens:
Nova 2.0 Omni (medium)$0.55
Grok 4.3 (low)$1.50

Speed Comparison

Output Speed (tokens/s) — higher is better
Nova 2.0 Omni (medium)
Grok 4.3 (low)
99 tok/s
Time to First Token (seconds) — lower is better
Nova 2.0 Omni (medium)
Grok 4.3 (low)
7.92s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
20.935.4
Coding Index
Math Index
89.7
GPQA Diamond
76.0%84.3%
MMLU-Pro
80.9%
LiveCodeBench
66.0%
AIME 2025
89.7%
MATH-500
Humanity's Last Exam
6.8%17.3%
SciCode
36.2%41.9%
IFBench
66.2%81.0%
TerminalBench
4.5%26.5%
Nova 2.0 Omni (medium)4 wins
6 winsGrok 4.3 (low)

Frequently Asked Questions

Which is cheaper, Nova 2.0 Omni (medium) or Grok 4.3 (low)?

Nova 2.0 Omni (medium) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.85/M tokens vs $1.56/M for Grok 4.3 (low).

Which model performs better on benchmarks?

Grok 4.3 (low) wins 6 out of 12 benchmarks compared to 4 for Nova 2.0 Omni (medium). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Grok 4.3 (low) generates tokens faster at 99 tok/s vs 0 tok/s. Nova 2.0 Omni (medium) also has lower time-to-first-token (0.00s vs 7.92s).

When should I use Nova 2.0 Omni (medium) vs Grok 4.3 (low)?

Choose based on your priorities: Nova 2.0 Omni (medium) for lower cost, Grok 4.3 (low) for stronger benchmark performance, and Grok 4.3 (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.