Compare/Nova 2.0 Lite (Non-reasoning) vs Ling-2.6-1T

Nova 2.0 Lite (Non-reasoning)vsLing-2.6-1T

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

Amazon

Nova 2.0 Lite (Non-reasoning)

Input
$0.3/M
Output
$2.5/M
Speed
226 tok/s
TTFT
0.85s
InclusionAI

Ling-2.6-1T

Input
$0.3/M
Output
$2.5/M
Speed
TTFT

Winner by Category

Cheaper
Tie
Faster (tok/s)
Nova 2.0 Lite (Non-reasoning)
Lower Latency
Ling-2.6-1T
Benchmarks (4-7)
Ling-2.6-1T

Pricing Comparison

MetricNova 2.0 Lite (Non-reasoning)Ling-2.6-1T
Input ($/M tokens)$0.3$0.3
Output ($/M tokens)$2.5$2.5
Cost for 1M input + 100K output tokens:
Nova 2.0 Lite (Non-reasoning)$0.55
Ling-2.6-1T$0.55

Speed Comparison

Output Speed (tokens/s) — higher is better
Nova 2.0 Lite (Non-reasoning)
226 tok/s
Ling-2.6-1T
Time to First Token (seconds) — lower is better
Nova 2.0 Lite (Non-reasoning)
0.85s
Ling-2.6-1T

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.033.6
Coding Index
12.533.1
Math Index
33.7
GPQA Diamond
60.3%75.2%
MMLU-Pro
74.3%
LiveCodeBench
34.6%
AIME 2025
33.7%
MATH-500
Humanity's Last Exam
3.0%8.2%
SciCode
24.0%37.0%
IFBench
40.5%56.9%
TerminalBench
6.8%31.1%
Nova 2.0 Lite (Non-reasoning)4 wins
7 winsLing-2.6-1T

Frequently Asked Questions

Which is cheaper, Nova 2.0 Lite (Non-reasoning) or Ling-2.6-1T?

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

Which model performs better on benchmarks?

Ling-2.6-1T wins 7 out of 12 benchmarks compared to 4 for Nova 2.0 Lite (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Nova 2.0 Lite (Non-reasoning) generates tokens faster at 226 tok/s vs 0 tok/s. However, Ling-2.6-1T has lower time-to-first-token (0.00s vs 0.85s).

When should I use Nova 2.0 Lite (Non-reasoning) vs Ling-2.6-1T?

Choose based on your priorities: both are similarly priced, Ling-2.6-1T for stronger benchmark performance, and Nova 2.0 Lite (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.