Sky T1 32B Preview
5244°
<skyt1-32b>
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Guides for this model
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Open weights vs open source vs API-only: what you are actually allowed to do
What is a GGUF file? Quantized models explained (Q4, Q8, fp8, NF4)
NovaSky-AI | 32,768 token context | $0.12/M input, $0.18/M output. This is a 32B reasoning model trained from Qwen2.5-32B-Instruct with 17K data. The performance is on par with o1-preview model on both math and coding.
Captain's notes
Notes from 2026-10-13
Sky T1 32B Preview is a reasoning-focused large language model built by NovaSky-AI on top of Qwen2.5-32B-Instruct, fine-tuned on 17,000 examples to sharpen math and coding performance. NovaSky claims it matches o1-preview on those two domains at a fraction of the cost. It suits developers and researchers who want serious reasoning capability without paying frontier-model prices.
Known for
- Math and coding reasoning claimed on par with o1-preview.
- Fine-tuned from a strong 32B base using a compact 17K dataset.
- Very low token price: $0.12 input and $0.18 output per million tokens.
- Derived from Qwen2.5-32B-Instruct, a well-regarded open base model.
Watch out for
- Weights are not publicly released; you are locked into the API.
- Context window is 32,768 tokens, modest by current standards.
- This is a preview release; stability and long-term availability are unconfirmed.
Prompts to try
Competitive math problem
A train leaves city A at 60 km/h. Two hours later, a second train leaves city A on the same track at 90 km/h. How far from city A do the two trains meet, and at what time after the first train departed? Show your reasoning step by step.
Debug this function
Here is a Python function that is supposed to return the nth Fibonacci number using memoization, but it returns wrong results for n greater than 10. Find the bug, explain why it occurs, and give a corrected version with a brief explanation of the fix.
def fib(n, memo={}):
if n <= 1:
return n
if n in memo:
return memo[n]
memo[n] = fib(n-1) + fib(n-2)
return memo[n]
Algorithm design challenge
Given an unsorted array of integers, design an algorithm that finds the length of the longest consecutive sequence in O(n) time. Walk through your approach, explain why it meets the time complexity requirement, then write clean Python code implementing it.
Compare with
- Space Bunny AlphaAPI-only model1,000,000 token context · free to use
- Solar Pro 4API-only model524,288 token context · $0.09/M input, $0.36/M output
- Gemini 2.5 FlashAPI-only model1,048,576 token context · $0.30/M input, $2.50/M output
- Qwen3 30B A3B Thinking 2507API-only model81,920 token context · $0.20/M input, $2.40/M output
More text models from novasky-ai
Questions people ask
- Can I run Sky T1 32B Preview locally?
- No. The weights have not been released publicly, so you can only access it through the API.
- What does Sky T1 32B Preview cost, and how large is its context?
- Pricing is $0.12 per million input tokens and $0.18 per million output tokens, with a 32,768-token context window.
- How does Sky T1 32B Preview compare to o1-preview?
- NovaSky-AI states that performance is on par with o1-preview on math and coding benchmarks, while the token price is substantially lower.
Captain's verdictA genuinely cheap reasoning model that punches above its price on math and code, held back only by closed weights and a modest context window.
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
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Glossary: the terms used here
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- Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
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- Typical model
- The middle of the catalog: half the models with a figure grew faster over the period, half slower.
Sky T1 32B Preview is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models, check its heat score to see how it is trending, and open it on PirateDiffusion or BitVector to try it.
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