Compare/Nova 2.0 Omni (low) vs Qwen3.5 27B (Reasoning)

Nova 2.0 Omni (low)vsQwen3.5 27B (Reasoning)

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

Amazon

Nova 2.0 Omni (low)

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

Qwen3.5 27B (Reasoning)

Input
$0.3/M
Output
$2.4/M
Speed
90 tok/s
TTFT
1.31s

Winner by Category

Cheaper
Qwen3.5 27B (Reasoning)
Faster (tok/s)
Qwen3.5 27B (Reasoning)
Lower Latency
Nova 2.0 Omni (low)
Benchmarks (4-7)
Qwen3.5 27B (Reasoning)

Pricing Comparison

MetricNova 2.0 Omni (low)Qwen3.5 27B (Reasoning)
Input ($/M tokens)$0.3$0.3
Output ($/M tokens)$2.5$2.4
Cost for 1M input + 100K output tokens:
Nova 2.0 Omni (low)$0.55
Qwen3.5 27B (Reasoning)$0.54

Speed Comparison

Output Speed (tokens/s) — higher is better
Nova 2.0 Omni (low)
Qwen3.5 27B (Reasoning)
90 tok/s
Time to First Token (seconds) — lower is better
Nova 2.0 Omni (low)
Qwen3.5 27B (Reasoning)
1.31s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.242.1
Coding Index
13.934.9
Math Index
56.0
GPQA Diamond
69.9%85.8%
MMLU-Pro
79.8%
LiveCodeBench
59.2%
AIME 2025
56.0%
MATH-500
Humanity's Last Exam
4.0%22.2%
SciCode
34.3%39.5%
IFBench
61.8%75.6%
TerminalBench
3.8%32.6%
Nova 2.0 Omni (low)4 wins
7 winsQwen3.5 27B (Reasoning)

Frequently Asked Questions

Which is cheaper, Nova 2.0 Omni (low) or Qwen3.5 27B (Reasoning)?

Qwen3.5 27B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.82/M tokens vs $0.85/M for Nova 2.0 Omni (low).

Which model performs better on benchmarks?

Qwen3.5 27B (Reasoning) wins 7 out of 12 benchmarks compared to 4 for Nova 2.0 Omni (low). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 27B (Reasoning) generates tokens faster at 90 tok/s vs 0 tok/s. Nova 2.0 Omni (low) also has lower time-to-first-token (0.00s vs 1.31s).

When should I use Nova 2.0 Omni (low) vs Qwen3.5 27B (Reasoning)?

Choose based on your priorities: Qwen3.5 27B (Reasoning) for lower cost, Qwen3.5 27B (Reasoning) for stronger benchmark performance, and Qwen3.5 27B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.