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Gemma 4 26B A4B

Gemma 4 26B A4B is a Google model with 262K context, Not verified in / Not verified out per million tokens, last verified October 2, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Google’s instruction-tuned Gemma 4 26B-A4B open-weight variant for text/image input and video through frame sequences, generating text.

Recorded profile verification October 2, 2026Individual provider fields may change

AI model specification details
SpecificationGemma 4 26B A4B
ProviderGoogle
TierBalanced
Context window262K
Max outputNot verifiedUnverified
Input / 1M tokensNot verifiedUnverified
Output / 1M tokensNot verifiedUnverified
WeightsOpen
Parameters25.2B total / 3.8B active (MoE)
Reasoning levelsNot verifiedUnverified
Modalitiestext, image, video
LicenseApache 2.0
ReleasedMarch 31, 2026

Pricing tiers: Downloadable instruction-tuned weights declare Apache 2.0 in the exact publisher card. Self-hosting needs compute; the family has no universal per-token hosting tariff. Hosted API identifiers, prices and generation caps depend on the route, and are not inferred from local examples.

Best for

  • Self-hosted multimodal applications
  • Text generation
  • Instruction following

Watch out

Thinking is enabled by <|think|> in the system prompt; omit it to disable. Disabled thinking still emits an empty thought block. Use temperature=1.0/top_p=0.95/top_k=64. Omit historical thoughts except during tool-call turns. Video understanding processes frame sequences; this variant has no audio encoder or native audio support. Native text context comes from this checkpoint’s text_config, not the vision encoder’s positional limit. Exact hard output cap and universal hosting rates remain unknown; example generation budgets are not caps. Vendor benchmark runs remain unranked until identity/settings are reconciled.

Common questions

Gemma 4 26B A4B

Answered from the verified figures on this page rather than general guidance.

What is Gemma 4 26B A4B's context window?
Gemma 4 26B A4B accepts about 262K tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Gemma 4 26B A4B best for?
Gemma 4 26B A4B is a balanced tier from Google. It suits self-hosted multimodal applications, text generation, instruction following. Thinking is enabled by <|think|> in the system prompt; omit it to disable. Disabled thinking still emits an empty thought block. Use temperature=1.0/top_p=0.95/top_k=64. Omit historical thoughts except during tool-call turns. Video understanding processes frame sequences; this variant has no audio encoder or native audio support. Native text context comes from this checkpoint’s text_config, not the vision encoder’s positional limit. Exact hard output cap and universal hosting rates remain unknown; example generation budgets are not caps. Vendor benchmark runs remain unranked until identity/settings are reconciled.
Can I self-host Gemma 4 26B A4B?
Gemma 4 26B A4B publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.