Ling-3.0-flash
AI model by InclusionAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Ling-3.0-flash is a budget-tier option from InclusionAI at $0.22/M output tokens. Despite the low price, it scores competitively on Coding Index (50.6) and Intelligence Index (37.4) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Ling-3.0-flash reports 280 tok/s output speed and 1960ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, Ling-3.0-flash costs $0.09 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Ling-3.0-flashCurrent | $0.07 | $0.22 | 280 tok/s |
| gpt-oss-20b (low) | $0.07 | $0.23 | 175 tok/s |
| Hy3-preview (Reasoning) | $0.06 | $0.21 | — |
| Hy3-preview (Non-reasoning) | $0.06 | $0.21 | — |
| NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) | $0.05 | $0.20 | 197 tok/s |
| Qwen3.5 9B (Reasoning) | $0.14 | $0.20 | 71 tok/s |