Compare/Qwen3.6 27B (Reasoning) vs Claude 3.5 Haiku

Qwen3.6 27B (Reasoning)vsClaude 3.5 Haiku

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

Alibaba

Qwen3.6 27B (Reasoning)

Input
$0.6/M
Output
$3.6/M
Speed
61 tok/s
TTFT
1.46s
Anthropic

Claude 3.5 Haiku

Input
$1/M
Output
$4/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3.6 27B (Reasoning)
Faster (tok/s)
Qwen3.6 27B (Reasoning)
Lower Latency
Claude 3.5 Haiku
Benchmarks (7-3)
Qwen3.6 27B (Reasoning)

Pricing Comparison

MetricQwen3.6 27B (Reasoning)Claude 3.5 Haiku
Input ($/M tokens)$0.6$1
Output ($/M tokens)$3.6$4
Cost for 1M input + 100K output tokens:
Qwen3.6 27B (Reasoning)$0.96
Claude 3.5 Haiku$1.40

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.6 27B (Reasoning)
61 tok/s
Claude 3.5 Haiku
Time to First Token (seconds) — lower is better
Qwen3.6 27B (Reasoning)
1.46s
Claude 3.5 Haiku

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
45.818.7
Coding Index
36.510.7
Math Index
GPQA Diamond
84.2%40.8%
MMLU-Pro
63.4%
LiveCodeBench
31.4%
AIME 2025
MATH-500
72.1%
Humanity's Last Exam
21.6%3.5%
SciCode
39.8%27.4%
IFBench
67.6%42.8%
TerminalBench
34.8%2.3%
Qwen3.6 27B (Reasoning)7 wins
3 winsClaude 3.5 Haiku

Frequently Asked Questions

Which is cheaper, Qwen3.6 27B (Reasoning) or Claude 3.5 Haiku?

Qwen3.6 27B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.35/M tokens vs $1.75/M for Claude 3.5 Haiku.

Which model performs better on benchmarks?

Qwen3.6 27B (Reasoning) wins 7 out of 12 benchmarks compared to 3 for Claude 3.5 Haiku. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.6 27B (Reasoning) generates tokens faster at 61 tok/s vs 0 tok/s. However, Claude 3.5 Haiku has lower time-to-first-token (0.00s vs 1.46s).

When should I use Qwen3.6 27B (Reasoning) vs Claude 3.5 Haiku?

Choose based on your priorities: Qwen3.6 27B (Reasoning) for lower cost, Qwen3.6 27B (Reasoning) for stronger benchmark performance, and Qwen3.6 27B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.