Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Ling-flash-2.0 | Seed-OSS-36B-Instruct |
|---|---|---|
| Input ($/M tokens) | $0.14 | $0.21 |
| Output ($/M tokens) | $0.57 | $0.57 |
Verdict. Seed-OSS-36B-Instruct takes the aggregate benchmark matchup 1–0 across 1 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, Seed-OSS-36B-Instruct is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Seed-OSS-36B-Instruct makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Ling-flash-2.0 is strongest on Intelligence Index (9.6). Seed-OSS-36B-Instruct leads on Intelligence Index (18.5).
Speed. On throughput, Ling-flash-2.0 generates tokens at 89 tok/s versus 29 tok/s — about 67% faster. On time-to-first-token, Ling-flash-2.0 responds in 2300ms vs 2970ms, which matters most for chat-style UIs.
Provider. InclusionAI and ByteDance Seed sell to overlapping but distinct developer audiences: InclusionAI tends to ship frontier reasoning models with premium positioning, while ByteDance Seed 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-flash-2.0 costs $12.75 ($153/year); Seed-OSS-36B-Instruct costs $14.85 ($178/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Ling-flash-2.0 ≈ $1.84/run, Seed-OSS-36B-Instruct ≈ $2.19/run. At agent/realtime scale (200M input / 100M output per million requests): Ling-flash-2.0 ≈ $85/run, Seed-OSS-36B-Instruct ≈ $99/run. Ling-flash-2.0 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-flash-2.0 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.25/M tokens vs $0.30/M for Seed-OSS-36B-Instruct.
Seed-OSS-36B-Instruct wins 1 out of 12 benchmarks compared to 0 for Ling-flash-2.0. See the detailed benchmark chart above for per-category results.
Ling-flash-2.0 generates tokens faster at 89 tok/s vs 29 tok/s. Ling-flash-2.0 also has lower time-to-first-token (2.30s vs 2.97s).
Choose based on your priorities: Ling-flash-2.0 for lower cost, Seed-OSS-36B-Instruct for stronger benchmark performance, and Ling-flash-2.0 for faster generation. For latency-sensitive apps, check the TTFT comparison above.