TinyLlama
1 model across 1 family · Latest: Together AI TinyLlama-1.1B-Chat-v1.0 (2024-01)
Open-source small language model project.
TinyLlama's portfolio covers 1 active model across 1 current family, spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 1 active tracked model; last verified 2026-05-19.
Use it for
- Teams evaluating classification and json / tool use across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 1 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
1
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
$0.050 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2024-01-11
Together AI TinyLlama-1.1B-Chat-v1.0
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 1 recent dated release (full timeline below). Latest: Together AI TinyLlama-1.1B-Chat-v1.0 (2024-01-11).
Where this lab wins
- Classification: 1 tracked model with MMLU-class moderation/safety coverage.
- JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
Flagship: Together AI TinyLlama-1.1B-Chat-v1.0 (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
TinyLlama is a Singaporean AI research organization founded in 2023. Open-source small language model project. TinyLlama ships 1 model family totaling 1 model, with the most recent release Together AI TinyLlama-1.1B-Chat-v1.0 in 2024-01. Notable families include TinyLlama. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts. View official API endpoints, benchmark performance, and coding/agent fit for every TinyLlama model.
About
TinyLlama is an open-source research project focused on pretraining a 1.1B parameter Llama model on 3 trillion tokens, demonstrating that small, efficient models can be competitive with larger counterparts on common benchmarks.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Together AI TinyLlama-1.1B-Chat-v1.0 | 2024-01-11 | 2k | $0.05 | $0.05 | Proprietary | Proprietary |
Model families
Recent releases
- Together AI TinyLlama-1.1B-Chat-v1.0- 2024-01-11
FAQ
Who founded TinyLlama and when?
TinyLlama was founded in 2023 and is associated with Singapore.
What models has TinyLlama released?
TinyLlama ships 1 model across 1 family: TinyLlama.
Is TinyLlama's technology open source?
TinyLlama's models are proprietary.
Where is TinyLlama headquartered?
TinyLlama is headquartered in Singapore.
What is TinyLlama known for?
Open-source small language model project. Its most prominent tracked family is TinyLlama.
How can I access TinyLlama's models?
TinyLlama's models are available via Together AI.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.