Compare/Nemotron 3.5 Lightning vs Ling 3.0 Flash

Nemotron 3.5 LightningvsLing 3.0 Flash

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

NVIDIA

Nemotron 3.5 Lightning

Input
$0.07/M
Output
$0.22/M
Speed
302 tok/s
TTFT
1.16s
InclusionAI

Ling 3.0 Flash

Input
$0.07/M
Output
$0.22/M
Speed
TTFT

Winner by Category

Cheaper
Tie
Faster (tok/s)
Nemotron 3.5 Lightning
Lower Latency
Nemotron 3.5 Lightning
Benchmarks (0-2)
Ling 3.0 Flash

Pricing Comparison

MetricNemotron 3.5 LightningLing 3.0 Flash
Input ($/M tokens)$0.07$0.07
Output ($/M tokens)$0.22$0.22
Cost for 1M input + 100K output tokens:
Nemotron 3.5 Lightning$0.09
Ling 3.0 Flash$0.09

Speed Comparison

Output Speed (tokens/s) — higher is better
Nemotron 3.5 Lightning
302 tok/s
Ling 3.0 Flash
Time to First Token (seconds) — lower is better
Nemotron 3.5 Lightning
1.16s
Ling 3.0 Flash

Editorial Analysis

Verdict. Ling 3.0 Flash takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Ling 3.0 Flash is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Ling 3.0 Flash makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Nemotron 3.5 Lightning is strongest on Coding Index (26.8), Intelligence Index (23.6). Ling 3.0 Flash leads on Coding Index (50.6), Intelligence Index (37.8).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. NVIDIA and InclusionAI sell to overlapping but distinct developer audiences: NVIDIA tends to ship frontier reasoning models with premium positioning, while InclusionAI often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Nemotron 3.5 Lightning costs $5.40 ($65/year); Ling 3.0 Flash costs $5.40 ($65/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Nemotron 3.5 Lightning ≈ $0.79/run, Ling 3.0 Flash ≈ $0.79/run. At agent/realtime scale (200M input / 100M output per million requests): Nemotron 3.5 Lightning ≈ $36/run, Ling 3.0 Flash ≈ $36/run.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.637.8
Coding Index
26.850.6
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Nemotron 3.5 Lightning0 wins
2 winsLing 3.0 Flash

Frequently Asked Questions

Which is cheaper, Nemotron 3.5 Lightning or Ling 3.0 Flash?

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

Which model performs better on benchmarks?

Ling 3.0 Flash wins 2 out of 12 benchmarks compared to 0 for Nemotron 3.5 Lightning. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Nemotron 3.5 Lightning generates tokens faster at 302 tok/s vs — tok/s. Nemotron 3.5 Lightning also has lower time-to-first-token (1.16s vs —s).

When should I use Nemotron 3.5 Lightning vs Ling 3.0 Flash?

Choose based on your priorities: both are similarly priced, Ling 3.0 Flash for stronger benchmark performance, and Nemotron 3.5 Lightning for faster generation. For latency-sensitive apps, check the TTFT comparison above.