Free models and APIs on Together AI in 2026
Together AI offers a unified API for open models, including selected models with zero-cost access.
82 modelsup to 10.5M contextbest: GLM 5.3Updated:

Together AI
Online at the last check
Only selected models are priced at zero; there is no general free trial.
- Base URL
https://api.together.xyz/v1- Compatibility
- OpenAI Chat Completions
- Card
- Check with the provider
- Limits
- Fair use (depends on server load)
| # | Model ↕ | AA Index ↕ | Context ↕ | Size ↕ | Limit | |
|---|---|---|---|---|---|---|
| 1 |
GLM 5.3
zai-org/GLM-5.3-FP8 |
44.8 | 1M | Frontier | Fair use (depends on server load) | Open |
| 2 |
GLM 5.3
zai-org/GLM-5.3-FP8-Lora |
44.8 | 1M | Frontier | Fair use (depends on server load) | Open |
| 3 |
Gemma 4 26B A4B
google/gemma-4-26B-A4B-it |
16.7 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 4 |
Qwen 3.6 35B
Qwen/Qwen3.6-35B-A3B-FP8 |
18.2 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 5 |
Qwen 3.6 35B
Qwen/Qwen3.6-35B-A3B-Lora |
18.2 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 6 |
Qwen 3.5 122B
Qwen/Qwen3.5-122B-A10B-FP8 |
17.7 | 262K | Frontier | Fair use (depends on server load) | Open |
| 7 |
Gemma 4 31B
google/gemma-4-31B-it-lora |
14.7 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 8 |
MiniMax M1 40K
MiniMaxAI/MiniMax-M1-40k |
— | 1M | Frontier | Fair use (depends on server load) | Open |
| 9 |
MiniMax M1 80K
MiniMaxAI/MiniMax-M1-80k |
— | 1M | Frontier | Fair use (depends on server load) | Open |
| 10 |
Llama 4 Maverick Instruct Fp4
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP4 |
— | 1M | Frontier | Fair use (depends on server load) | Open |
| 11 |
GLM 5.2
zai-org/GLM-5.2-FP8 |
— | 1M | Frontier | Fair use (depends on server load) | Open |
| 12 |
GLM 5.2
zai-org/GLM-5.2-FP8-Lora |
— | 1M | Frontier | Fair use (depends on server load) | Open |
| 13 |
Nemotron 3 Nano Omni
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning-fp8 |
10.3 | 131K | Mid-size | Fair use (depends on server load) | Open |
| 14 |
Gemma 4 12B
google/gemma-4-12B-it |
14.2 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 15 |
Qwen3 235B
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 |
— | 262K | Frontier | Fair use (depends on server load) | Open |
| 16 |
Qwen3 Coder 30B
Qwen/Qwen3-Coder-30B-A3B-Instruct |
— | 262K | Frontier | Fair use (depends on server load) | Open |
| 17 |
Qwen3 VL 235B
Qwen/Qwen3-VL-235B-A22B-Instruct-FP8 |
— | 262K | Frontier | Fair use (depends on server load) | Open |
| 18 |
Nvidia Nemotron 3 Super
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 |
— | 262K | Frontier | Fair use (depends on server load) | Open |
| 19 |
Nvidia Nemotron 3 Super
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
— | 262K | Frontier | Fair use (depends on server load) | Open |
| 20 |
Qwen 3.5 9B
Qwen/Qwen3.5-9B-FP8 |
13.3 | 262K | Small | Fair use (depends on server load) | Open |
| 21 |
Llama 3.1 70B
nim/meta/llama-3.1-70b-instruct |
— | 16K | Frontier | Fair use (depends on server load) | Open |
| 22 |
Cogito V1 Preview Llama 70B
deepcogito/cogito-v1-preview-llama-70B |
— | 131K | Frontier | Fair use (depends on server load) | Open |
| 23 |
Cogito V1 Preview Llama 70B
deepcogito/cogito-v1-preview-llama-70B-Turbo |
— | 131K | Frontier | Fair use (depends on server load) | Open |
| 24 |
Qwen2.5 72B
Qwen/Qwen2.5-72B |
— | 131K | Frontier | Fair use (depends on server load) | Open |
| 25 |
Meta Llama 3.1 70B
meta-llama/Meta-Llama-3.1-70B |
— | 131K | Frontier | Fair use (depends on server load) | Open |
| 26 |
GLM 4 5v
zai-org/GLM-4.5V |
— | 66K | Frontier | Fair use (depends on server load) | Open |
| 27 |
MiniMax M2
MiniMaxAI/MiniMax-M2 |
— | 197K | Frontier | Fair use (depends on server load) | Open |
| 28 |
GLM 4.7 Fp4
zai-org/GLM-4.7-fp4 |
— | 203K | Frontier | Fair use (depends on server load) | Open |
| 29 |
GLM 5 Fp4
zai-org/GLM-5-FP4 |
— | 203K | Frontier | Fair use (depends on server load) | Open |
| 30 |
MiniMax M2.5 Fp4
MiniMaxAI/MiniMax-M2.5-FP4 |
— | 8K | Frontier | Fair use (depends on server load) | Open |
| 31 |
GLM 4.7
zai-org/GLM-4.7-FP8 |
— | 203K | Frontier | Fair use (depends on server load) | Open |
| 32 |
GLM Ocr
zai-org/GLM-OCR |
— | 131K | Frontier | Fair use (depends on server load) | Open |
| 33 |
Qwen3 Next 80B
Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 |
11.2 | — | Frontier | Fair use (depends on server load) | Open |
| 34 |
Mistral Nemo
nim/nv-mistralai/mistral-nemo-12b-instruct |
— | 16K | Mid-size | Fair use (depends on server load) | Open |
| 35 |
Qwen3 30B
Qwen/Qwen3-30B-A3B |
— | 41K | Mid-size | Fair use (depends on server load) | Open |
| 36 |
Llama 4 Scout
meta-llama/Llama-4-Scout-17B-16E |
6.5 | 262K | Frontier | Fair use (depends on server load) | Open |
| 37 |
Qwen3 30B
Qwen/Qwen3-30B-A3B-Instruct-2507-Lora |
— | 262K | Mid-size | Fair use (depends on server load) | Open |
| 38 |
Llama 4 Scout
meta-llama/Llama-4-Scout-17B-16E-Instruct-FP8-Lora |
6.5 | 10.5M | Frontier | Fair use (depends on server load) | Open |
| 39 |
Ternary Bonsai 27B
Prism-ML/Ternary-Bonsai-27B |
— | 262K | Mid-size | Fair use (depends on server load) | Open |
| 40 |
Qwen 3.5 35B
Qwen/Qwen3.5-35B-A3B |
— | 262K | Mid-size | Fair use (depends on server load) | Open |
| 41 |
Holo3 35B A3B
Hcompany/Holo3-35B-A3B |
— | 262K | Mid-size | Fair use (depends on server load) | Open |
| 42 |
Qwen 3.5 35B
Qwen/Qwen3.5-35B-A3B-Lora |
— | 262K | Mid-size | Fair use (depends on server load) | Open |
| 43 |
Llama 3.2 11B Vision
nim/meta/llama-3.2-11b-vision-instruct |
5.4 | 16K | Mid-size | Fair use (depends on server load) | Open |
| 44 |
Nvidia Nemotron 3 Nano
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
8.9 | 262K | Mid-size | Fair use (depends on server load) | Open |
| 45 |
Llama 3.3 70B
nim/meta/llama-3.3-70b-instruct |
7.7 | 16K | Frontier | Fair use (depends on server load) | Open |
| 46 |
Llama 3.3 70B
meta-llama/Llama-3.3-70B-Instruct |
7.7 | 131K | Frontier | Fair use (depends on server load) | Open |
| 47 |
Llama 3.3 70B
meta-llama/Llama-3.3-70B-Instruct-FP8-Lora |
7.7 | 131K | Frontier | Fair use (depends on server load) | Open |
| 48 |
Mixtral 8x7b Instruct V01
nim/mistralai/mixtral-8x7b-instruct-v01 |
— | 16K | Mid-size | Fair use (depends on server load) | Open |
| 49 |
Llama 3.3 Nemotron Super 49B
nim/nvidia/llama-3.3-nemotron-super-49b-v1 |
— | 16K | Mid-size | Fair use (depends on server load) | Open |
| 50 |
Gemma 3 27B
google/gemma-3-27b-it |
— | 66K | Mid-size | Fair use (depends on server load) | Open |
| 51 |
Cogito V1 Preview Qwen 32B
deepcogito/cogito-v1-preview-qwen-32B |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 52 |
Cogito V1 Preview Qwen 14B
deepcogito/cogito-v1-preview-qwen-14B |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 53 |
Qwen2.5 32B
Qwen/Qwen2.5-32B |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 54 |
Qwen2.5 14B
Qwen/Qwen2.5-14B |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 55 |
Qwen2.5 32B
Qwen/Qwen2.5-32B-Instruct |
— | 33K | Mid-size | Fair use (depends on server load) | Open |
| 56 |
Deepcoder 14B Preview
agentica-org/DeepCoder-14B-Preview |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 57 |
Devstral Small
mistralai/Devstral-Small-2505 |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 58 |
Qwen3 14B
Qwen/Qwen3-14B |
— | 2K | Mid-size | Fair use (depends on server load) | Open |
| 59 |
Qwen3 32B
Qwen/Qwen3-32B |
— | 41K | Mid-size | Fair use (depends on server load) | Open |
| 60 |
Medgemma 27B Text
google/medgemma-27b-text-it |
— | 131K | Mid-size | Fair use (depends on server load) | Open |
| 61 |
DeepSeek Ocr 2
deepseek-ai/DeepSeek-OCR-2 |
— | 8K | Mid-size | Fair use (depends on server load) | Open |
| 62 |
Gemma 3 27B
google/gemma-3-27b-it-lora |
— | — | Mid-size | Fair use (depends on server load) | Open |
| 63 |
Gemma 4 E4b
google/gemma-4-E4B-it |
8.9 | 131K | Small | Fair use (depends on server load) | Open |
| 64 |
Magistral Small
mistralai/Magistral-Small-2506 |
8.6 | 41K | Mid-size | Fair use (depends on server load) | Open |
| 65 |
Llama 3.2 90B Vision
nim/meta/llama-3.2-90b-vision-instruct |
6.4 | 16K | Frontier | Fair use (depends on server load) | Open |
| 66 |
Qwen 3.5 2B
Qwen/Qwen3.5-2B-Lora |
6.9 | 262K | Small | Fair use (depends on server load) | Open |
| 67 |
Gemma 4 E2b
google/gemma-4-E2B-it |
7.8 | 131K | Small | Fair use (depends on server load) | Open |
| 68 |
Llama 3.1 Nemotron 70B
nim/nvidia/llama-3.1-nemotron-70b-instruct |
— | 16K | Frontier | Fair use (depends on server load) | Open |
| 69 |
Mixtral 8x22b
mistralai/Mixtral-8x22B-Instruct-v0.1 |
— | 66K | Frontier | Fair use (depends on server load) | Open |
| 70 |
Llama 3.1 405B
meta-llama/Llama-3.1-405B |
7.3 | 131K | Frontier | Fair use (depends on server load) | Open |
| 71 |
Llama 3.1 8B
nim/meta/llama-3.1-8b-instruct |
— | 16K | Small | Fair use (depends on server load) | Open |
| 72 |
Gemma 3 4B
google/gemma-3-4b-it |
— | 66K | Small | Fair use (depends on server load) | Open |
| 73 |
Llama 3.2 1B
meta-llama/Llama-3.2-1B |
— | 131K | Small | Fair use (depends on server load) | Open |
| 74 |
Mixtral 8x22b Instruct V01
nim/mistralai/mixtral-8x22b-instruct-v01 |
— | 16K | Frontier | Fair use (depends on server load) | Open |
| 75 |
Qwen3 4B
Qwen/Qwen3-4B-Instruct-2507 |
— | 262K | Small | Fair use (depends on server load) | Open |
| 76 |
Molmo 7B D 0924
allenai/Molmo-7B-D-0924 |
5.6 | 4K | Small | Fair use (depends on server load) | Open |
| 77 |
Gemma 3 270M
google/gemma-3-270m-it |
5.1 | 33K | Small | Fair use (depends on server load) | Open |
| 78 |
Gemma 3 270M
google/gemma-3-270m-it-lora |
5.1 | 33K | Small | Fair use (depends on server load) | Open |
| 79 |
DeepSeek R1 Distill Qwen 7B
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
— | 131K | Small | Fair use (depends on server load) | Open |
| 80 |
Gemma 3 1B
google/gemma-3-1b-it |
— | 33K | Small | Fair use (depends on server load) | Open |
| 81 |
Cogito V1 Preview Llama 8B
deepcogito/cogito-v1-preview-llama-8B |
— | 131K | Small | Fair use (depends on server load) | Open |
| 82 |
Qwen2.5 3B
Qwen/Qwen2.5-3B-Instruct |
— | 33K | Small | Fair use (depends on server load) | Open |
| 83 |
Qwen2.5 1 5B
Qwen/Qwen2.5-1.5B-Instruct |
— | 33K | Small | Fair use (depends on server load) | Open |
| 84 |
Qwen2.5 7B
Qwen/Qwen2.5-7B |
— | 131K | Small | Fair use (depends on server load) | Open |
| 85 |
Qwen2.5 1 5B
Qwen/Qwen2.5-1.5B |
— | 131K | Small | Fair use (depends on server load) | Open |
| 86 |
Qwen2.5 7B
Qwen/Qwen2.5-7B-Instruct |
— | 33K | Small | Fair use (depends on server load) | Open |
| 87 |
Qwen3 8B
Qwen/Qwen3-8B |
— | 41K | Small | Fair use (depends on server load) | Open |
| 88 |
Qwen 3.0 6B
Qwen/Qwen3-0.6B |
— | 41K | Small | Fair use (depends on server load) | Open |
| 89 |
Qwen 3.1 7B
Qwen/Qwen3-1.7B |
— | 41K | Small | Fair use (depends on server load) | Open |
| 90 |
Meta Llama 3.1 8B
togethercomputer/meta-llama-3.1-8B-Instruct-AWQ-INT4 |
— | 131K | Small | Fair use (depends on server load) | Open |
| 91 |
Sarvam M
sarvamai/sarvam-m |
— | 33K | Small | Fair use (depends on server load) | Open |
| 92 |
EssentialAI Rnj-1 Instruct
togethercomputer/EssentialAI-RNJ-1-Instruct |
— | 33K | Small | Fair use (depends on server load) | Open |
| 93 |
Qwen3 8B
Qwen/Qwen3-8B-Lora |
— | 41K | Small | Fair use (depends on server load) | Open |
| 94 |
Mistral 7B
mistralai/Mistral-7B-v0.1 |
— | 33K | Small | Fair use (depends on server load) | Open |
| 95 |
Mixtral 8x7b
mistralai/Mixtral-8x7B-Instruct-v0.1-FP8-Lora |
— | 33K | Mid-size | Fair use (depends on server load) | Open |
| 96 |
Gemma 2B
google/gemma-2b-it |
— | 8K | Small | Fair use (depends on server load) | Open |
| 97 |
Llama 2 7B
meta-llama/Llama-2-7b-chat-hf |
— | 4K | Small | Fair use (depends on server load) | Open |
| 98 |
Gemma 2 9B
google/gemma-2-9b-it |
— | 8K | Small | Fair use (depends on server load) | Open |
No models match your filters.
Benchmarks: Artificial Analysis (October 24, 2026). A dash means the model is not on their leaderboard; we never estimate scores ourselves.
FAQ
Is Together AI free?
Only selected models are priced at zero; there is no general free trial. 98 models are currently free.
Is Together AI compatible with the OpenAI API?
Yes — use the base URL https://api.together.xyz/v1 with any OpenAI-compatible client or SDK.
Does Together AI require a card?
It depends on the account — check the provider's dashboard.