Compare/Qwen3 0.6B (Reasoning) vs Gemma 4 E4B (Reasoning)

Qwen3 0.6B (Reasoning)vsGemma 4 E4B (Reasoning)

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

Alibaba

Qwen3 0.6B (Reasoning)

Input
$0.11/M
Output
$1.26/M
Speed
226 tok/s
TTFT
0.92s
Google

Gemma 4 E4B (Reasoning)

Input
$0.3/M
Output
$1.25/M
Speed
TTFT

Winner by Category

Cheaper
Qwen3 0.6B (Reasoning)
Faster (tok/s)
Qwen3 0.6B (Reasoning)
Lower Latency
Gemma 4 E4B (Reasoning)
Benchmarks (6-6)
Tie

Pricing Comparison

MetricQwen3 0.6B (Reasoning)Gemma 4 E4B (Reasoning)
Input ($/M tokens)$0.11$0.3
Output ($/M tokens)$1.26$1.25
Cost for 1M input + 100K output tokens:
Qwen3 0.6B (Reasoning)$0.24
Gemma 4 E4B (Reasoning)$0.42

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3 0.6B (Reasoning)
226 tok/s
Gemma 4 E4B (Reasoning)
Time to First Token (seconds) — lower is better
Qwen3 0.6B (Reasoning)
0.92s
Gemma 4 E4B (Reasoning)

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
6.518.8
Coding Index
0.913.7
Math Index
18.0
GPQA Diamond
23.9%57.6%
MMLU-Pro
34.7%
LiveCodeBench
12.1%
AIME 2025
18.0%
MATH-500
75.0%
Humanity's Last Exam
5.7%3.7%
SciCode
2.8%24.4%
IFBench
23.3%44.2%
TerminalBench
0.0%8.3%
Qwen3 0.6B (Reasoning)6 wins
6 winsGemma 4 E4B (Reasoning)

Frequently Asked Questions

Which is cheaper, Qwen3 0.6B (Reasoning) or Gemma 4 E4B (Reasoning)?

Qwen3 0.6B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/M tokens vs $0.54/M for Gemma 4 E4B (Reasoning).

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. 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 226 tok/s vs 0 tok/s. However, Gemma 4 E4B (Reasoning) has lower time-to-first-token (0.00s vs 0.92s).

When should I use Qwen3 0.6B (Reasoning) vs Gemma 4 E4B (Reasoning)?

Choose based on your priorities: Qwen3 0.6B (Reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3 0.6B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.