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

Qwen3.5 2B (Reasoning)vsLlama 3.1 Instruct 8B

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

Alibaba

Qwen3.5 2B (Reasoning)

Input
$0.02/M
Output
$0.1/M
Speed
TTFT
Meta

Llama 3.1 Instruct 8B

Input
$0.1/M
Output
$0.1/M
Speed
194 tok/s
TTFT
0.47s

Winner by Category

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

Pricing Comparison

MetricQwen3.5 2B (Reasoning)Llama 3.1 Instruct 8B
Input ($/M tokens)$0.02$0.1
Output ($/M tokens)$0.1$0.1
Cost for 1M input + 100K output tokens:
Qwen3.5 2B (Reasoning)$0.03
Llama 3.1 Instruct 8B$0.11

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 2B (Reasoning)
Llama 3.1 Instruct 8B
194 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 2B (Reasoning)
Llama 3.1 Instruct 8B
0.47s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
16.311.8
Coding Index
3.54.9
Math Index
4.3
GPQA Diamond
45.6%25.9%
MMLU-Pro
47.6%
LiveCodeBench
11.6%
AIME 2025
4.3%
MATH-500
51.9%
Humanity's Last Exam
2.1%5.1%
SciCode
2.8%13.2%
IFBench
31.5%28.6%
TerminalBench
3.8%0.8%
Qwen3.5 2B (Reasoning)4 wins
8 winsLlama 3.1 Instruct 8B

Frequently Asked Questions

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

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?

Llama 3.1 Instruct 8B generates tokens faster at 194 tok/s vs 0 tok/s. Qwen3.5 2B (Reasoning) also has lower time-to-first-token (0.00s vs 0.47s).

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

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