Free models by use case
A practical directory of models confirmed as truly free by at least one configured source. Use the filters to narrow the roster by use case or search by model ID, capability, modality, or source.
Models18confirmed free
Use cases5directory groups
Sources3OpenRouter, Nous, Zen
Deep reasoning / research
6 models| Use case | Model | Model name | Eligibility | Sources | Context | Modalities | Description |
|---|---|---|---|---|---|---|---|
| Deep reasoning / research | meituan/longcat-2.5:free | LongCat-2.5:Free | Verified $0 | nous | 1 048 576 | text+image->text | Meituan's LongCat 2.5. 1M context, image input, reasoning on by default. Free. |
| Deep reasoning / research | reflection/beam-1.0-501b-a23b:free | Reflection: Beam 1.0 501B A23B | Verified $0 | nous | 262 144 | text->text | Beam 1.0 is a free reasoning model with a 262K-token context window, tool calling and structured outputs. Text input only. Reasoning is always on; control depth with the `reasoning` parameter (`low` / `medium` / `high` / `xhigh` / `max`). |
| Deep reasoning / research | google/gemma-4-31b-it:free | Google: Gemma 4 31B (free) | Verified $0 | openrouter | 262 144 | text+image+video->text | Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function... |
| Deep reasoning / research | liquid/lfm-2.5-2.6b:free | LiquidAI: LFM2.5-2.6B (free) | Verified $0 | openrouter | 65 536 | text->text | LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or... |
| Deep reasoning / research | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free | NVIDIA: Nemotron 3 Nano Omni (free) | Verified $0 | openrouter | 256 000 | text+image+audio+video->text | NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and... |
| Deep reasoning / research | nvidia/nemotron-3-ultra-550b-a55b:free | NVIDIA: Nemotron 3 Ultra (free) | Verified $0 | openrouter | 1 000 000 | text->text | NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it... |
Agentic coding
4 models| Use case | Model | Model name | Eligibility | Sources | Context | Modalities | Description |
|---|---|---|---|---|---|---|---|
| Agentic coding | stealth/crouton-alpha | Crouton Alpha | Verified $0 | openrouter · nous | 1 048 576 | text+image+file+audio+video->text | Crouton Alpha is a lightweight model built for scalable coding, agentic, and multimodal workflows. It's ideal for executing agentic sub-tasks, tool use, and document analysis in high-volume, repeated work. Developers... |
| Agentic coding | stepfun/step-3.7-flash:free | StepFun: Step 3.7 Flash | Verified $0 | nous | 262 144 | text+image+video->text | Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters... |
| Agentic coding | cohere/north-mini-code:free | Cohere: North Mini Code (free) | Verified $0 | openrouter | 256 000 | text->text | North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized... |
| Agentic coding | recursive/flint-v1.0:free | Recursive: Flint (free) | Verified $0 | openrouter | 262 144 | text->text | Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited... |
Vision / multimodal
2 models| Use case | Model | Model name | Eligibility | Sources | Context | Modalities | Description |
|---|---|---|---|---|---|---|---|
| Vision / multimodal | google/gemma-4-26b-a4b-it:free | Google: Gemma 4 26B A4B (free) | Verified $0 | openrouter | 262 144 | text+image+video->text | Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at... |
| Vision / multimodal | nvidia/nemotron-3.5-super-vl:free | NVIDIA: Nemotron 3.5 Super VL (free) | Verified $0 | openrouter | 1 000 000 | text+image+video->text | NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video... |
Fast / lightweight
4 models| Use case | Model | Model name | Eligibility | Sources | Context | Modalities | Description |
|---|---|---|---|---|---|---|---|
| Fast / lightweight | upstage/solar-mini4:free | Upstage: Solar Mini 4 | Verified $0 | nous | 524 288 | text->text | Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response... |
| Fast / lightweight | nemotron-3.5-lightning-free | nemotron-3.5-lightning-free | Zen free | opencode-zen | 262 144 | text | Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads |
| Fast / lightweight | liquid/lfm-3-1.7b:free | LiquidAI: LFM3-1.7B (free) | Verified $0 | openrouter | 262 144 | text->text | A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used... |
| Fast / lightweight | nvidia/nemotron-3.5-lightning:free | NVIDIA: Nemotron 3.5 Lightning (free) | Verified $0 | openrouter | 1 000 000 | text->text | NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that... |
General purpose fallback
2 models| Use case | Model | Model name | Eligibility | Sources | Context | Modalities | Description |
|---|---|---|---|---|---|---|---|
| General purpose fallback | dots-studio/dots-3-note-preview:free | Dots Studio: Dots3-Note Preview (free) | Verified $0 | openrouter | 512 000 | text+image->text | Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is... |
| General purpose fallback | xingchen-agi/xing4.0-29b-a4b:free | XingChen: Xing4.0 29B A4B (free) | Verified $0 | openrouter | 262 144 | text->text | Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token... |
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