Ling-2.6-1T
novita-ai/ling-2-6-1tPor novita-ai · familia: ling · lanzado 2026-04-23
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding69
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents76
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context51
- Context window (100K → 2M)51/90
- Has published price for full window0/10
Production-readiness45
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| NovitaAI novita-ai | inclusionai/ling-2.6-1t | Unknown | Unknown | 262K | 2026-04-23 |
Frequently asked questions
How much does Ling-2.6-1T cost?
Ling-2.6-1T does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check novita-ai's official pricing page for the most current rates.
What is the context window of Ling-2.6-1T?
Ling-2.6-1T has a context window of 262K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Ling-2.6-1T support tool calling?
Yes. Ling-2.6-1T supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Ling-2.6-1T support structured output / JSON mode?
Yes. Ling-2.6-1T supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Ling-2.6-1T accept image input?
No. Ling-2.6-1T only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Ling-2.6-1T open-weight?
Yes. Ling-2.6-1T's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Ling-2.6-1T?
If Ling-2.6-1T doesn't fit, consider Ling-2.6-flash, PaddleOCR-VL, baichuan-m2-32b. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
Última actualización:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.