Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Ling-3.0-flash | NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.07 | $0.05 |
| Output ($/M tokens) | $0.22 | $0.2 |
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 1.1× the per-million-token cost, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) 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 (37.4). NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) leads on Intelligence Index (7.4).
Speed. On throughput, Ling-3.0-flash generates tokens at 280 tok/s versus 197 tok/s — about 30% faster. On time-to-first-token, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) responds in 980ms vs 1960ms, which matters most for chat-style UIs.
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); NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) costs $4.50 ($54/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Ling-3.0-flash ≈ $0.79/run, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) ≈ $0.65/run. At agent/realtime scale (200M input / 100M output per million requests): Ling-3.0-flash ≈ $36/run, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) ≈ $30/run. NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
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
NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.09/M tokens vs $0.11/M for Ling-3.0-flash.
Ling-3.0-flash wins 2 out of 12 benchmarks compared to 0 for NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning). See the detailed benchmark chart above for per-category results.
Ling-3.0-flash generates tokens faster at 280 tok/s vs 197 tok/s. However, NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) has lower time-to-first-token (0.98s vs 1.96s).
Choose based on your priorities: NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) for lower cost, 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.