Compare/Ling-flash-2.0 vs Qwen3 32B (Non-reasoning)

Ling-flash-2.0vsQwen3 32B (Non-reasoning)

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

InclusionAI

Ling-flash-2.0

Input
$0.14/M
Output
$0.57/M
Speed
86 tok/s
TTFT
1.47s
Alibaba

Qwen3 32B (Non-reasoning)

Input
$0.15/M
Output
$0.59/M
Speed
103 tok/s
TTFT
1.09s

Winner by Category

Cheaper
Ling-flash-2.0
Faster (tok/s)
Qwen3 32B (Non-reasoning)
Lower Latency
Qwen3 32B (Non-reasoning)
Benchmarks (11-1)
Ling-flash-2.0

Pricing Comparison

MetricLing-flash-2.0Qwen3 32B (Non-reasoning)
Input ($/M tokens)$0.14$0.15
Output ($/M tokens)$0.57$0.59
Cost for 1M input + 100K output tokens:
Ling-flash-2.0$0.20
Qwen3 32B (Non-reasoning)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
Ling-flash-2.0
86 tok/s
Qwen3 32B (Non-reasoning)
103 tok/s
Time to First Token (seconds) — lower is better
Ling-flash-2.0
1.47s
Qwen3 32B (Non-reasoning)
1.09s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.714.5
Coding Index
16.7
Math Index
65.319.7
GPQA Diamond
65.7%53.5%
MMLU-Pro
77.7%72.7%
LiveCodeBench
58.9%28.8%
AIME 2025
65.3%19.7%
MATH-500
86.9%
Humanity's Last Exam
6.3%4.3%
SciCode
28.9%28.0%
IFBench
34.4%31.5%
TerminalBench
10.6%
Ling-flash-2.011 wins
1 winsQwen3 32B (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Ling-flash-2.0 or Qwen3 32B (Non-reasoning)?

Ling-flash-2.0 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.25/M tokens vs $0.26/M for Qwen3 32B (Non-reasoning).

Which model performs better on benchmarks?

Ling-flash-2.0 wins 11 out of 12 benchmarks compared to 1 for Qwen3 32B (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 32B (Non-reasoning) generates tokens faster at 103 tok/s vs 86 tok/s. However, Qwen3 32B (Non-reasoning) has lower time-to-first-token (1.09s vs 1.47s).

When should I use Ling-flash-2.0 vs Qwen3 32B (Non-reasoning)?

Choose based on your priorities: Ling-flash-2.0 for lower cost, Ling-flash-2.0 for stronger benchmark performance, and Qwen3 32B (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.