Compare/Qwen3.6 35B A3B (Reasoning) vs GPT-3.5 Turbo

Qwen3.6 35B A3B (Reasoning)vsGPT-3.5 Turbo

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

Alibaba

Qwen3.6 35B A3B (Reasoning)

Input
$0.248/M
Output
$1.485/M
Speed
176 tok/s
TTFT
1.46s
OpenAI

GPT-3.5 Turbo

Input
$0.5/M
Output
$1.5/M
Speed
104 tok/s
TTFT
0.52s

Winner by Category

Cheaper
Qwen3.6 35B A3B (Reasoning)
Faster (tok/s)
Qwen3.6 35B A3B (Reasoning)
Lower Latency
GPT-3.5 Turbo
Benchmarks (7-2)
Qwen3.6 35B A3B (Reasoning)

Pricing Comparison

MetricQwen3.6 35B A3B (Reasoning)GPT-3.5 Turbo
Input ($/M tokens)$0.248$0.5
Output ($/M tokens)$1.485$1.5
Cost for 1M input + 100K output tokens:
Qwen3.6 35B A3B (Reasoning)$0.40
GPT-3.5 Turbo$0.65

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.6 35B A3B (Reasoning)
176 tok/s
GPT-3.5 Turbo
104 tok/s
Time to First Token (seconds) — lower is better
Qwen3.6 35B A3B (Reasoning)
1.46s
GPT-3.5 Turbo
0.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
43.59.0
Coding Index
35.210.7
Math Index
GPQA Diamond
84.1%29.7%
MMLU-Pro
46.2%
LiveCodeBench
AIME 2025
MATH-500
44.1%
Humanity's Last Exam
20.2%
SciCode
35.8%
IFBench
64.4%
TerminalBench
34.8%
Qwen3.6 35B A3B (Reasoning)7 wins
2 winsGPT-3.5 Turbo

Frequently Asked Questions

Which is cheaper, Qwen3.6 35B A3B (Reasoning) or GPT-3.5 Turbo?

Qwen3.6 35B A3B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.56/M tokens vs $0.75/M for GPT-3.5 Turbo.

Which model performs better on benchmarks?

Qwen3.6 35B A3B (Reasoning) wins 7 out of 12 benchmarks compared to 2 for GPT-3.5 Turbo. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.6 35B A3B (Reasoning) generates tokens faster at 176 tok/s vs 104 tok/s. However, GPT-3.5 Turbo has lower time-to-first-token (0.52s vs 1.46s).

When should I use Qwen3.6 35B A3B (Reasoning) vs GPT-3.5 Turbo?

Choose based on your priorities: Qwen3.6 35B A3B (Reasoning) for lower cost, Qwen3.6 35B A3B (Reasoning) for stronger benchmark performance, and Qwen3.6 35B A3B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.