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inclusionai/ling-2.6-1t

Inclusion AI ling-2.6-1t

Tool calling
Try inclusionai/ling-2.6-1tCompareDocs

Specifications

Context window262K tokens
Max outputβ€”
API typechat
AddedMay 27, 2026
Model IDnovita/inclusionai/ling-2.6-1t
Data retentionYes
Used for trainingUnknown
Provider locationπŸ‡ΊπŸ‡Έ US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Released 2026-04-23
Coding Indexcoding
33.1%

Artificial Analysis Coding Index β€” a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
75.2%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
33.6%

Artificial Analysis Intelligence Index β€” a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality β€” always test on your own workload.

Pricing

Input / 1M
$0.30
Output / 1M
$2.50
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.0550
1M input + 100K output$0.55
10M input + 1M output$5.50

Requesty charges exactly what the upstream provider charges β€” no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/inclusionai/ling-2.6-1t.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/inclusionai/ling-2.6-1t",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does inclusionai/ling-2.6-1t cost?
inclusionai/ling-2.6-1t is priced at $0.30 per million input tokens and $2.50 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of inclusionai/ling-2.6-1t?
inclusionai/ling-2.6-1t has a context window of 262K tokens. That's roughly 350 words of input you can fit in a single prompt.
How does inclusionai/ling-2.6-1t perform on benchmarks?
inclusionai/ling-2.6-1t scores 89.8% on τ²-Bench, 75.2% on GPQA Diamond, 37.0% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can inclusionai/ling-2.6-1t do?
inclusionai/ling-2.6-1t supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use inclusionai/ling-2.6-1t with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/inclusionai/ling-2.6-1t". The Quickstart above shows Python, JavaScript and cURL snippets.

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