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

GPT-3.5 TurbovsQwen3.6 35B A3B (Reasoning)

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

OpenAI

GPT-3.5 Turbo

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

Qwen3.6 35B A3B (Reasoning)

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

Winner by Category

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

Pricing Comparison

MetricGPT-3.5 TurboQwen3.6 35B A3B (Reasoning)
Input ($/M tokens)$0.5$0.248
Output ($/M tokens)$1.5$1.485
Cost for 1M input + 100K output tokens:
GPT-3.5 Turbo$0.65
Qwen3.6 35B A3B (Reasoning)$0.40

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.043.5
Coding Index
10.735.2
Math Index
GPQA Diamond
29.7%84.1%
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%
GPT-3.5 Turbo2 wins
7 winsQwen3.6 35B A3B (Reasoning)

Frequently Asked Questions

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

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. GPT-3.5 Turbo also has lower time-to-first-token (0.52s vs 1.46s).

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

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.