Compare/Qwen3.5 0.8B (Reasoning) vs Llama 3.2 Instruct 1B

Qwen3.5 0.8B (Reasoning)vsLlama 3.2 Instruct 1B

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

Alibaba

Qwen3.5 0.8B (Reasoning)

Input
$0.01/M
Output
$0.05/M
Speed
450 tok/s
TTFT
0.24s
Meta

Llama 3.2 Instruct 1B

Input
$0.1/M
Output
$0.1/M
Speed
144 tok/s
TTFT
0.52s

Winner by Category

Cheaper
Qwen3.5 0.8B (Reasoning)
Faster (tok/s)
Qwen3.5 0.8B (Reasoning)
Lower Latency
Qwen3.5 0.8B (Reasoning)
Benchmarks (1-10)
Llama 3.2 Instruct 1B

Pricing Comparison

MetricQwen3.5 0.8B (Reasoning)Llama 3.2 Instruct 1B
Input ($/M tokens)$0.01$0.1
Output ($/M tokens)$0.05$0.1
Cost for 1M input + 100K output tokens:
Qwen3.5 0.8B (Reasoning)$0.02
Llama 3.2 Instruct 1B$0.11

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 0.8B (Reasoning)
450 tok/s
Llama 3.2 Instruct 1B
144 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 0.8B (Reasoning)
0.24s
Llama 3.2 Instruct 1B
0.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
10.56.3
Coding Index
0.00.6
Math Index
0.0
GPQA Diamond
11.1%19.6%
MMLU-Pro
20.0%
LiveCodeBench
1.9%
AIME 2025
0.0%
MATH-500
14.0%
Humanity's Last Exam
1.2%5.3%
SciCode
0.0%1.7%
IFBench
21.5%22.8%
TerminalBench
0.0%0.0%
Qwen3.5 0.8B (Reasoning)1 wins
10 winsLlama 3.2 Instruct 1B

Frequently Asked Questions

Which is cheaper, Qwen3.5 0.8B (Reasoning) or Llama 3.2 Instruct 1B?

Qwen3.5 0.8B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.02/M tokens vs $0.10/M for Llama 3.2 Instruct 1B.

Which model performs better on benchmarks?

Llama 3.2 Instruct 1B wins 10 out of 12 benchmarks compared to 1 for Qwen3.5 0.8B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 0.8B (Reasoning) generates tokens faster at 450 tok/s vs 144 tok/s. Qwen3.5 0.8B (Reasoning) also has lower time-to-first-token (0.24s vs 0.52s).

When should I use Qwen3.5 0.8B (Reasoning) vs Llama 3.2 Instruct 1B?

Choose based on your priorities: Qwen3.5 0.8B (Reasoning) for lower cost, Llama 3.2 Instruct 1B for stronger benchmark performance, and Qwen3.5 0.8B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.