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Gemma 3 alternatives

Multimodal Gemma family with 128K context and broad local deployment options under Gemma terms.

This Gemma 3 alternatives guide compares pricing, strengths, tradeoffs, and related options.

Gemma 3 is the March 2025 branch that brought image understanding and long context to the Gemma family across multiple local-friendly sizes. It remains relevant for workstation and laptop inference, but it is no longer the newest Gemma branch now that Google has released Gemma 3n and Gemma 4.

Official site: https://ai.google.dev/gemma

Company YouTube: https://www.youtube.com/@googledeepmind

At a glance

Pricing model Free
Page type Model family
Model source Own models
API cost No required vendor API cost for local/self-hosted use.
Subscription cost No mandatory subscription for base model access.
Model last update 2025-08-14 (Google Gemma releases list: Gemma 3 270M addition).
Model weight counts 270M, 1B, 4B, 12B, 27B
Model versions Gemma 3 family launch, Gemma 3n family launch, Gemma 3 270M, Gemma 4 announced
Related model Gemma 4 · Gemma 3 vs Gemma 4
Key difference Gemma 3 is the earlier multimodal branch under Gemma terms; Gemma 4 moves the family to Apache-2.0 licensing, audio input support, and a newer on-device MoE design.
Best for Local assistants with manageable compliance processes, Multimodal summarization and extraction, Product prototypes that avoid hosted-chat data exposure
Categories For Solopreneurs , For Small Business , Free AI Tools , Developers , Local LLMs , Vision LLMs

Model version timeline

Gemma 3 release milestones
2025-03-12
Gemma 3 family launch
Google released Gemma 3 in 1B, 4B, 12B, and 27B sizes with 128K context and image understanding.
Source
2025-06-26
Gemma 3n family launch
Google introduced Gemma 3n as the more device-first branch of the Gemma 3 generation.
Source
2025-08-14
Gemma 3 270M
Google added a 270M Gemma 3 checkpoint for very small local deployments.
Source
2026-04-02
Gemma 4 announced
Google advanced the family again with Gemma 4 as the newer multimodal successor branch.
Source

Top alternatives

  • Gemma 4 : Newest Gemma family with Apache-2.0 licensing, multimodal input, 256K context, and sparse on-device variants.
  • Gemma 3n : Device-first Gemma branch with multimodal support, long context, and efficient E2B/E4B variants.
  • Qwen3 8B : Apache-2.0 open-weight 8B model with 128K context, local-first deployment, and optional cloud API access.
  • Qwen2.5 VL : Multimodal Qwen model family for local vision-language workflows.
  • Phi-3.5 Vision Instruct : Compact MIT-licensed multimodal model for local image, OCR, chart, and multi-image reasoning tasks.
  • Molmo : Open vision-language family from AI2 focused on strong multimodal quality with Apache-2.0 licensing.

Notes

Gemma 3 is still a strong local multimodal option, but it should now be compared directly with Gemma 3n and Gemma 4 before you standardize on the family.

Comparison table

Tool Pricing Page type Model source API cost Subscription cost Pros Cons
Gemma 3 Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. Multiple model sizes support broad hardware profiles; Long-context support for substantial document tasks No longer the newest Gemma branch for fresh evaluations; Custom license terms increase compliance workload
Gemma 4 Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. Apache-2.0 licensing is simpler for commercial use than earlier Gemma branches; 256K context is strong for larger document and app workflows 31B still needs serious local hardware compared with smaller VLM options; Fresh releases can have uneven runtime support at first
Gemma 3n Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. Designed specifically for on-device deployment efficiency; Handles text, image, audio, and video inputs in one family Gemma terms are still less permissive than Apache/MIT model releases; Smaller ceiling than Gemma 4 or very large workstation-class VLMs
Qwen3 8B Free Model family Own models Local: no required vendor API cost. Optional cloud API (Alibaba Cloud Model Studio, pricing page updated 2026-02-11): qwen-max starts at $0.345 input / $1.377 output per 1M tokens; qwen-plus starts at $0.115 input / $0.287 output per 1M tokens (<=128K tier). No fixed Qwen API subscription is listed in Model Studio; API billing is pay-as-you-go by token usage. Apache-2.0 license supports broad commercial usage; 128K context is practical for multi-document tasks Requires local deployment and model-ops basics; Text-only core model line
Qwen2.5 VL Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. Strong local multimodal capability set; Useful for document and visual analysis workflows Heavier runtime needs than text-only models; Requires careful context and memory tuning
Phi-3.5 Vision Instruct Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. MIT licensing is simple for commercial use; Strong fit for OCR, chart, and table understanding Still needs careful VRAM tuning for heavier image batches; Weaker ceiling than larger frontier-scale VLMs
Molmo Free Model family Own models No required vendor API cost for local/self-hosted use. No mandatory subscription for base model access. Apache-2.0 licensing is easy to work with; Strong open multimodal quality for its size Smaller deployment ecosystem than Qwen or Llama families; Less turnkey than hosted multimodal assistants

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