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

Qwen3.5 27B (Reasoning)vsNova 2.0 Omni (medium)

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

Alibaba

Qwen3.5 27B (Reasoning)

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

Nova 2.0 Omni (medium)

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

Winner by Category

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

Pricing Comparison

MetricQwen3.5 27B (Reasoning)Nova 2.0 Omni (medium)
Input ($/M tokens)$0.3$0.3
Output ($/M tokens)$2.4$2.5
Cost for 1M input + 100K output tokens:
Qwen3.5 27B (Reasoning)$0.54
Nova 2.0 Omni (medium)$0.55

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
42.128.0
Coding Index
34.915.1
Math Index
89.7
GPQA Diamond
85.8%76.0%
MMLU-Pro
80.9%
LiveCodeBench
66.0%
AIME 2025
89.7%
MATH-500
Humanity's Last Exam
22.2%6.8%
SciCode
39.5%36.2%
IFBench
75.6%66.2%
TerminalBench
32.6%4.5%
Qwen3.5 27B (Reasoning)7 wins
4 winsNova 2.0 Omni (medium)

Frequently Asked Questions

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

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 (medium).

Which model performs better on benchmarks?

Qwen3.5 27B (Reasoning) wins 7 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?

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

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

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.