Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Ling 3.0 Flash | Nemotron 3.5 Lightning |
|---|---|---|
| Input ($/M tokens) | $0.07 | $0.07 |
| Output ($/M tokens) | $0.22 | $0.22 |
Verdict. Ling 3.0 Flash wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Nemotron 3.5 Lightning is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Nemotron 3.5 Lightning makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Ling 3.0 Flash is strongest on Coding Index (50.6), Intelligence Index (37.8). Nemotron 3.5 Lightning leads on Coding Index (26.8), Intelligence Index (23.6).
Speed. Throughput is comparable — 346 tok/s vs 286 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.
Provider. InclusionAI and NVIDIA sell to overlapping but distinct developer audiences: InclusionAI tends to ship frontier reasoning models with premium positioning, while NVIDIA 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): Ling 3.0 Flash costs $5.40 ($65/year); Nemotron 3.5 Lightning costs $5.40 ($65/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Ling 3.0 Flash ≈ $0.79/run, Nemotron 3.5 Lightning ≈ $0.79/run. At agent/realtime scale (200M input / 100M output per million requests): Ling 3.0 Flash ≈ $36/run, Nemotron 3.5 Lightning ≈ $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.
Data from Artificial Analysis API — 12 benchmarks
Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.
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.
Ling 3.0 Flash generates tokens faster at 346 tok/s vs 286 tok/s. However, Nemotron 3.5 Lightning has lower time-to-first-token (1.00s vs 2.58s).
Choose based on your priorities: both are similarly priced, Ling 3.0 Flash for stronger benchmark performance, and Ling 3.0 Flash for faster generation. For latency-sensitive apps, check the TTFT comparison above.