Compare/Llama 3.1 Instruct 8B vs Qwen3.5 2B (Reasoning)

Llama 3.1 Instruct 8BvsQwen3.5 2B (Reasoning)

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

Meta

Llama 3.1 Instruct 8B

Input
$0.1/M
Output
$0.1/M
Speed
183 tok/s
TTFT
0.40s
Alibaba

Qwen3.5 2B (Reasoning)

Input
$0.02/M
Output
$0.1/M
Speed
357 tok/s
TTFT
0.54s

Winner by Category

Cheaper
Qwen3.5 2B (Reasoning)
Faster (tok/s)
Qwen3.5 2B (Reasoning)
Lower Latency
Llama 3.1 Instruct 8B
Benchmarks (8-4)
Llama 3.1 Instruct 8B

Pricing Comparison

MetricLlama 3.1 Instruct 8BQwen3.5 2B (Reasoning)
Input ($/M tokens)$0.1$0.02
Output ($/M tokens)$0.1$0.1
Cost for 1M input + 100K output tokens:
Llama 3.1 Instruct 8B$0.11
Qwen3.5 2B (Reasoning)$0.03

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama 3.1 Instruct 8B
183 tok/s
Qwen3.5 2B (Reasoning)
357 tok/s
Time to First Token (seconds) — lower is better
Llama 3.1 Instruct 8B
0.40s
Qwen3.5 2B (Reasoning)
0.54s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
11.816.3
Coding Index
4.93.5
Math Index
4.3
GPQA Diamond
25.9%45.6%
MMLU-Pro
47.6%
LiveCodeBench
11.6%
AIME 2025
4.3%
MATH-500
51.9%
Humanity's Last Exam
5.1%2.1%
SciCode
13.2%2.8%
IFBench
28.6%31.5%
TerminalBench
0.8%3.8%
Llama 3.1 Instruct 8B8 wins
4 winsQwen3.5 2B (Reasoning)

Frequently Asked Questions

Which is cheaper, Llama 3.1 Instruct 8B or Qwen3.5 2B (Reasoning)?

Qwen3.5 2B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.04/M tokens vs $0.10/M for Llama 3.1 Instruct 8B.

Which model performs better on benchmarks?

Llama 3.1 Instruct 8B wins 8 out of 12 benchmarks compared to 4 for Qwen3.5 2B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 2B (Reasoning) generates tokens faster at 357 tok/s vs 183 tok/s. Llama 3.1 Instruct 8B also has lower time-to-first-token (0.40s vs 0.54s).

When should I use Llama 3.1 Instruct 8B vs Qwen3.5 2B (Reasoning)?

Choose based on your priorities: Qwen3.5 2B (Reasoning) for lower cost, Llama 3.1 Instruct 8B for stronger benchmark performance, and Qwen3.5 2B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.