Compare/Gemma 4 12B (Non-reasoning) vs Ling 2.6 Flash

Gemma 4 12B (Non-reasoning)vsLing 2.6 Flash

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

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Gemma 4 12B (Non-reasoning)

Input
$0.1/M
Output
$0.3/M
Speed
149 tok/s
TTFT
1.44s
InclusionAI

Ling 2.6 Flash

Input
$0.1/M
Output
$0.3/M
Speed
172 tok/s
TTFT
0.69s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Ling 2.6 Flash
Lower Latency
Ling 2.6 Flash
Benchmarks (2-4)
Ling 2.6 Flash

Pricing Comparison

MetricGemma 4 12B (Non-reasoning)Ling 2.6 Flash
Input ($/M tokens)$0.1$0.1
Output ($/M tokens)$0.3$0.3
Cost for 1M input + 100K output tokens:
Gemma 4 12B (Non-reasoning)$0.13
Ling 2.6 Flash$0.13

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 4 12B (Non-reasoning)
149 tok/s
Ling 2.6 Flash
172 tok/s
Time to First Token (seconds) — lower is better
Gemma 4 12B (Non-reasoning)
1.44s
Ling 2.6 Flash
0.69s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
13.214.1
Coding Index
25.3
Math Index
GPQA Diamond
66.1%59.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
6.2%6.2%
SciCode
29.7%27.1%
IFBench
45.2%57.4%
TerminalBench
11.4%21.2%
Gemma 4 12B (Non-reasoning)2 wins
4 winsLing 2.6 Flash

Frequently Asked Questions

Which is cheaper, Gemma 4 12B (Non-reasoning) or Ling 2.6 Flash?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Ling 2.6 Flash wins 4 out of 12 benchmarks compared to 2 for Gemma 4 12B (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Ling 2.6 Flash generates tokens faster at 172 tok/s vs 149 tok/s. However, Ling 2.6 Flash has lower time-to-first-token (0.69s vs 1.44s).

When should I use Gemma 4 12B (Non-reasoning) vs Ling 2.6 Flash?

Choose based on your priorities: both are similarly priced, Ling 2.6 Flash for stronger benchmark performance, and Ling 2.6 Flash for faster generation. For latency-sensitive apps, check the TTFT comparison above.