Compare/Qwen3.5 4B (Reasoning) vs Llama 3.2 Instruct 3B

Qwen3.5 4B (Reasoning)vsLlama 3.2 Instruct 3B

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

Alibaba

Qwen3.5 4B (Reasoning)

Input
$0.03/M
Output
$0.15/M
Speed
202 tok/s
TTFT
0.23s
Meta

Llama 3.2 Instruct 3B

Input
$0.15/M
Output
$0.15/M
Speed
52 tok/s
TTFT
0.72s

Winner by Category

Cheaper
Qwen3.5 4B (Reasoning)
Faster (tok/s)
Qwen3.5 4B (Reasoning)
Lower Latency
Qwen3.5 4B (Reasoning)
Benchmarks (7-5)
Qwen3.5 4B (Reasoning)

Pricing Comparison

MetricQwen3.5 4B (Reasoning)Llama 3.2 Instruct 3B
Input ($/M tokens)$0.03$0.15
Output ($/M tokens)$0.15$0.15
Cost for 1M input + 100K output tokens:
Qwen3.5 4B (Reasoning)$0.04
Llama 3.2 Instruct 3B$0.16

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 4B (Reasoning)
202 tok/s
Llama 3.2 Instruct 3B
52 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 4B (Reasoning)
0.23s
Llama 3.2 Instruct 3B
0.72s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
27.19.7
Coding Index
17.5
Math Index
3.3
GPQA Diamond
77.1%25.5%
MMLU-Pro
34.7%
LiveCodeBench
8.3%
AIME 2025
3.3%
MATH-500
48.9%
Humanity's Last Exam
7.8%5.2%
SciCode
16.1%5.2%
IFBench
52.0%26.2%
TerminalBench
18.2%
Qwen3.5 4B (Reasoning)7 wins
5 winsLlama 3.2 Instruct 3B

Frequently Asked Questions

Which is cheaper, Qwen3.5 4B (Reasoning) or Llama 3.2 Instruct 3B?

Qwen3.5 4B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.06/M tokens vs $0.15/M for Llama 3.2 Instruct 3B.

Which model performs better on benchmarks?

Qwen3.5 4B (Reasoning) wins 7 out of 12 benchmarks compared to 5 for Llama 3.2 Instruct 3B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 4B (Reasoning) generates tokens faster at 202 tok/s vs 52 tok/s. Qwen3.5 4B (Reasoning) also has lower time-to-first-token (0.23s vs 0.72s).

When should I use Qwen3.5 4B (Reasoning) vs Llama 3.2 Instruct 3B?

Choose based on your priorities: Qwen3.5 4B (Reasoning) for lower cost, Qwen3.5 4B (Reasoning) for stronger benchmark performance, and Qwen3.5 4B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.