Inteligencia de modelos de IA

Gemma 4 26B A4B (free)

openrouter/gemma-4-26b-a4b-it-free

Por openrouter · familia: gemma · lanzado 2026-04-03 · fecha de conocimiento: 2025-01

⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.

Desconocido
Entrada / 1M tokens
Desconocido
Salida / 1M tokens
262K
Ventana de contexto
33K
Salida máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

✓ Llamada a herramientas✓ Razonamiento✓ Salida estructurada✓ Adjuntos✓ Pesos abiertos✓ Control de temperatura
Modalidades: entrada text, image, video · salida text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding79
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context51
  • Context window (100K → 2M)51/90
  • Has published price for full window0/10
Vision72
  • Accepts image input50/50
  • Context window (10K → 1M)21/30
  • Has published price0/10
  • Provider availability1/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

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Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible en 1 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
OpenRouter
openrouter
google/gemma-4-26b-a4b-it:freeUnknownUnknown262K2026-04-03

Frequently asked questions

How much does Gemma 4 26B A4B (free) cost?

Gemma 4 26B A4B (free) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check openrouter's official pricing page for the most current rates.

What is the context window of Gemma 4 26B A4B (free)?

Gemma 4 26B A4B (free) has a context window of 262K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does Gemma 4 26B A4B (free) support tool calling?

Yes. Gemma 4 26B A4B (free) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Gemma 4 26B A4B (free) support structured output / JSON mode?

Yes. Gemma 4 26B A4B (free) supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Gemma 4 26B A4B (free) accept image input?

Yes. Gemma 4 26B A4B (free) accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.

Is Gemma 4 26B A4B (free) open-weight?

Yes. Gemma 4 26B A4B (free)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Gemma 4 26B A4B (free)?

If Gemma 4 26B A4B (free) doesn't fit, consider LFM2.5-1.2B-Instruct (free), LFM2.5-1.2B-Thinking (free), Owl Alpha. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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See also

Última actualización:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.