Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Ling 3.0 Tiny | Gemini 3.5 Flash (high) |
|---|---|---|
| Input ($/M tokens) | $0 | $1.5 |
| Output ($/M tokens) | $0 | $9 |
Verdict. Gemini 3.5 Flash (high) 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. Pricing varies significantly between these models — check the table above for the exact per-token rates. Many production workloads actually surface input-token cost (retrieval-augmented prompts, code-context windows), so factor both directions.
Strengths. Ling 3.0 Tiny is strongest on Coding Index (26.5), Intelligence Index (11.9). Gemini 3.5 Flash (high) leads on Coding Index (70.1), Intelligence Index (33.0).
Speed. On throughput, Gemini 3.5 Flash (high) generates tokens at 216 tok/s versus 171 tok/s — about 21% faster. On time-to-first-token, Ling 3.0 Tiny responds in 2710ms vs 18360ms, which matters most for chat-style UIs.
Provider. InclusionAI and Google sell to overlapping but distinct developer audiences: InclusionAI tends to ship frontier reasoning models with premium positioning, while Google 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 Tiny costs $0.00 ($0/year); Gemini 3.5 Flash (high) costs $180.00 ($2160/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Ling 3.0 Tiny ≈ $0.00/run, Gemini 3.5 Flash (high) ≈ $25.50/run. At agent/realtime scale (200M input / 100M output per million requests): Ling 3.0 Tiny ≈ $0/run, Gemini 3.5 Flash (high) ≈ $1200/run. Ling 3.0 Tiny 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.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Ling 3.0 Tiny is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $3.38/M for Gemini 3.5 Flash (high).
Gemini 3.5 Flash (high) wins 2 out of 12 benchmarks compared to 0 for Ling 3.0 Tiny. See the detailed benchmark chart above for per-category results.
Gemini 3.5 Flash (high) generates tokens faster at 216 tok/s vs 171 tok/s. Ling 3.0 Tiny also has lower time-to-first-token (2.71s vs 18.36s).
Choose based on your priorities: Ling 3.0 Tiny for lower cost, Gemini 3.5 Flash (high) for stronger benchmark performance, and Gemini 3.5 Flash (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.