Compare/Claude 3 Haiku vs Qwen3 0.6B (Reasoning)

Claude 3 HaikuvsQwen3 0.6B (Reasoning)

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

Anthropic

Claude 3 Haiku

Input
$0.25/M
Output
$1.25/M
Speed
132 tok/s
TTFT
0.41s
Alibaba

Qwen3 0.6B (Reasoning)

Input
$0.11/M
Output
$1.26/M
Speed
201 tok/s
TTFT
0.85s

Winner by Category

Cheaper
Qwen3 0.6B (Reasoning)
Faster (tok/s)
Qwen3 0.6B (Reasoning)
Lower Latency
Claude 3 Haiku
Benchmarks (7-5)
Claude 3 Haiku

Pricing Comparison

MetricClaude 3 HaikuQwen3 0.6B (Reasoning)
Input ($/M tokens)$0.25$0.11
Output ($/M tokens)$1.25$1.26
Cost for 1M input + 100K output tokens:
Claude 3 Haiku$0.38
Qwen3 0.6B (Reasoning)$0.24

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 3 Haiku
132 tok/s
Qwen3 0.6B (Reasoning)
201 tok/s
Time to First Token (seconds) — lower is better
Claude 3 Haiku
0.41s
Qwen3 0.6B (Reasoning)
0.85s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.36.5
Coding Index
6.70.9
Math Index
18.0
GPQA Diamond
37.4%23.9%
MMLU-Pro
34.7%
LiveCodeBench
15.4%12.1%
AIME 2025
18.0%
MATH-500
39.4%75.0%
Humanity's Last Exam
3.9%5.7%
SciCode
18.6%2.8%
IFBench
36.1%23.3%
TerminalBench
0.8%0.0%
Claude 3 Haiku7 wins
5 winsQwen3 0.6B (Reasoning)

Frequently Asked Questions

Which is cheaper, Claude 3 Haiku or Qwen3 0.6B (Reasoning)?

Qwen3 0.6B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/M tokens vs $0.50/M for Claude 3 Haiku.

Which model performs better on benchmarks?

Claude 3 Haiku wins 7 out of 12 benchmarks compared to 5 for Qwen3 0.6B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3 0.6B (Reasoning) generates tokens faster at 201 tok/s vs 132 tok/s. Claude 3 Haiku also has lower time-to-first-token (0.41s vs 0.85s).

When should I use Claude 3 Haiku vs Qwen3 0.6B (Reasoning)?

Choose based on your priorities: Qwen3 0.6B (Reasoning) for lower cost, Claude 3 Haiku for stronger benchmark performance, and Qwen3 0.6B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.