Free LLM API Models

This page lists models with both prompt and completion price reported as zero, useful for experiments, prototypes, and early evaluation.

29Models listed
1M + 500KCost example tokens
USD / 1MNormalized prices

Quick shortlist

Start with Ring-2.6-1T (free).

This guide starts with zero-price models for experiments and prototypes; verify limits before production use.

Lead model New🔥Ring-2.6-1T (free)
ProviderinclusionAI
Sample cost$0
Context262.14K

The ranking is a discovery aid, not a final recommendation. Always compare the model against your workload and verify provider pricing before production use.

How to read this ranking

Models are included when both prompt and completion prices are reported as zero. Free model availability and limits can change, so verify before production use.

Model Ranking

Browse all models
ModelProviderPromptOutputExample CostYour CostContextRankRelease
New🔥Ring-2.6-1T (free)inclusionAI$0$0$0$0262.14K#102026-05-08
🔥Nemotron 3 Super (free)NVIDIA$0$0$0$0262.14K#122026-03-11
🔥Owl AlphaOpenRouter$0$0$0$01.05M#172026-04-28
CoBuddy (free)Baidu Qianfan$0$0$0$0131.07KUnranked2026-05-06
Nemotron 3 Nano Omni (free)NVIDIA$0$0$0$0256KUnranked2026-04-28
Laguna XS.2 (free)Poolside$0$0$0$0131.07KUnranked2026-04-28
Laguna M.1 (free)Poolside$0$0$0$0131.07KUnranked2026-04-28
Qianfan-OCR-Fast (free)Baidu$0$0$0$065.54KUnranked2026-04-20
Gemma 4 26B A4B (free)Google$0$0$0$0262.14KUnranked2026-04-03
Gemma 4 31B (free)Google$0$0$0$0262.14KUnranked2026-04-02
Trinity Large Thinking (free)Arcee AI$0$0$0$0262.14KUnranked2026-04-01
Lyria 3 Pro PreviewGoogle$0$0$0$01.05MUnranked2026-03-30
Lyria 3 Clip PreviewGoogle$0$0$0$01.05MUnranked2026-03-30
MiniMax M2.5 (free)MiniMax$0$0$0$0196.61KUnranked2026-02-12
Free Models RouterOpenRouter$0$0$0$0200KUnranked2026-02-01
LFM2.5-1.2B-Thinking (free)LiquidAI$0$0$0$032.77KUnranked2026-01-20
LFM2.5-1.2B-Instruct (free)LiquidAI$0$0$0$032.77KUnranked2026-01-20
Nemotron 3 Nano 30B A3B (free)NVIDIA$0$0$0$0256KUnranked2025-12-14
Nemotron Nano 12B 2 VL (free)NVIDIA$0$0$0$0128KUnranked2025-10-28
Qwen3 Next 80B A3B Instruct (free)Qwen$0$0$0$0262.14KUnranked2025-09-11
Nemotron Nano 9B V2 (free)NVIDIA$0$0$0$0128KUnranked2025-09-05
gpt-oss-120b (free)OpenAI$0$0$0$0131.07KUnranked2025-08-05
gpt-oss-20b (free)OpenAI$0$0$0$0131.07KUnranked2025-08-05
GLM 4.5 Air (free)Z.ai$0$0$0$0131.07KUnranked2025-07-25
Qwen3 Coder 480B A35B (free)Qwen$0$0$0$0262KUnranked2025-07-23
Uncensored (free)Venice$0$0$0$032.77KUnranked2025-07-09
Llama 3.3 70B Instruct (free)Meta$0$0$0$065.54KUnranked2024-12-06
Llama 3.2 3B Instruct (free)Meta$0$0$0$0131.07KUnranked2024-09-25
Hermes 3 405B Instruct (free)Nous$0$0$0$0131.07KUnranked2024-08-16

Pricing FAQ

How is the sample workload cost calculated?

The sample workload uses 1 million input tokens plus 500 thousand output tokens, then applies each model's normalized USD price per 1 million tokens.

Why do input and output token prices matter separately?

Many applications are output-token heavy, while retrieval and classification workloads may be input-token heavy. Comparing both prices helps avoid picking a model that is cheap for the wrong workload shape.

Should I verify prices before production use?

Yes. AI Model Matrix normalizes public pricing metadata for comparison, but provider availability, limits, and prices can change. Always verify the final contract or provider dashboard before production use.

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