Compare/Qwen3.5 9B (Reasoning) vs Llama 3 Instruct 8B

Qwen3.5 9B (Reasoning)vsLlama 3 Instruct 8B

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

Alibaba

Qwen3.5 9B (Reasoning)

Input
$0.1/M
Output
$0.15/M
Speed
61 tok/s
TTFT
0.33s
Meta

Llama 3 Instruct 8B

Input
$0.045/M
Output
$0.145/M
Speed
84 tok/s
TTFT
0.39s

Winner by Category

Cheaper
Llama 3 Instruct 8B
Faster (tok/s)
Llama 3 Instruct 8B
Lower Latency
Qwen3.5 9B (Reasoning)
Benchmarks (7-3)
Qwen3.5 9B (Reasoning)

Pricing Comparison

MetricQwen3.5 9B (Reasoning)Llama 3 Instruct 8B
Input ($/M tokens)$0.1$0.045
Output ($/M tokens)$0.15$0.145
Cost for 1M input + 100K output tokens:
Qwen3.5 9B (Reasoning)$0.12
Llama 3 Instruct 8B$0.06

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 9B (Reasoning)
61 tok/s
Llama 3 Instruct 8B
84 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 9B (Reasoning)
0.33s
Llama 3 Instruct 8B
0.39s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
32.46.4
Coding Index
25.34.0
Math Index
GPQA Diamond
80.6%29.6%
MMLU-Pro
40.5%
LiveCodeBench
9.6%
AIME 2025
MATH-500
49.9%
Humanity's Last Exam
13.3%5.1%
SciCode
27.5%11.9%
IFBench
66.7%24.6%
TerminalBench
24.2%0.0%
Qwen3.5 9B (Reasoning)7 wins
3 winsLlama 3 Instruct 8B

Frequently Asked Questions

Which is cheaper, Qwen3.5 9B (Reasoning) or Llama 3 Instruct 8B?

Llama 3 Instruct 8B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.07/M tokens vs $0.11/M for Qwen3.5 9B (Reasoning).

Which model performs better on benchmarks?

Qwen3.5 9B (Reasoning) wins 7 out of 12 benchmarks compared to 3 for Llama 3 Instruct 8B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Llama 3 Instruct 8B generates tokens faster at 84 tok/s vs 61 tok/s. Qwen3.5 9B (Reasoning) also has lower time-to-first-token (0.33s vs 0.39s).

When should I use Qwen3.5 9B (Reasoning) vs Llama 3 Instruct 8B?

Choose based on your priorities: Llama 3 Instruct 8B for lower cost, Qwen3.5 9B (Reasoning) for stronger benchmark performance, and Llama 3 Instruct 8B for faster generation. For latency-sensitive apps, check the TTFT comparison above.