Model Library
InclusionAIReleased April 23, 2026Ling-2.6-1T
InclusionAI · Released April 23, 2026
Intelligence score
26
At a glance
- Intelligence
- 26
- Speed
- —
- Latency
- —
- Input price
- $0.30per 1M tokens
- Output price
- $2.50per 1M tokens
- Context window
- 260Ktokens
- Parameters
- 63billions
Summary
Comparison summary
Ling-2.6-1T scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 17). Ling-2.6-1T costs $0.30 per 1M input tokens (very competitive, median: $0.60) and $2.50 per 1M output tokens (somewhat higher than average, median: $2.40), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | Ling-2.6-1T |
|---|---|
| Provider | InclusionAI |
| Release date | April 23, 2026 |
| Intelligence score | 26 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | $0.30 / 1M tokens |
| Output price | $2.50 / 1M tokens |
| Context window | 260,000 tokens |
| Parameters | 63B |
| Reasoning | No |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | Mit |
| API availability | — |
| Source | Model Intelligence legacy profile: ling-2-6-1t |
Pricing
Token prices
Price per 1M tokens
Ling-2.6-1T, as listed in the catalog record
- Input$0.30
- Output$2.50
| Token type | Price per 1M |
|---|---|
| Input | $0.30 |
| Output | $2.50 |
Model Intelligence legacy profile: ling-2-6-1t
FAQ · 18
Frequently asked questions
Ling-2.6-1T was released on April 23, 2026.
Ling-2.6-1T was created by InclusionAI.
Ling-2.6-1T scores 26 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 17).
Ling-2.6-1T costs $0.30 per 1M input tokens (very competitive, median: $0.60) and $2.50 per 1M output tokens (somewhat higher than average, median: $2.40), based on the median across providers serving the model.
Ling-2.6-1T costs $0.30 per 1M input tokens and $2.50 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.52 per 1M tokens. Pricing may vary by provider.
No, Ling-2.6-1T is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Ling-2.6-1T supports text input.
Ling-2.6-1T supports text output.
No, Ling-2.6-1T does not support image input. It can only process text.
No, Ling-2.6-1T is not multimodal. It only supports text input.
Ling-2.6-1T has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ling-2.6-1T is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Ling-2.6-1T has 1.0 trillion parameters (63 billion active).
Ling-2.6-1T is a Mixture of Experts (MoE) model with 1.0 trillion total parameters, but only 63 billion active parameters are used during inference.
Ling-2.6-1T is released under the Mit license. This license allows commercial use.
Ling-2.6-1T achieves a score of 26 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Ling-2.6-1T is available via API through 1 provider.
Ling-2.6-1T is available through 1 API provider.