Gemma 4 26B A4B Thinking
nano-gpt/gemma-4-26b-a4b-it-thinkingPor nano-gpt · lanzado 2026-04-02
⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese 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.
Coding39
- Tool calling0/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents56
- Tool calling0/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output69
- Structured output / JSON mode50/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume19/20
Cost efficiency69
- Headline price (log-scaled)69/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision82
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.85 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.70 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.46 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.44 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.80 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de nano-gpt · google/gemma-4-26b-a4b-it:thinking
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | google/gemma-4-26b-a4b-it:thinking | $0.130 | $0.400 | 262K | 2026-04-02 |
Frequently asked questions
How much does Gemma 4 26B A4B Thinking cost?
Gemma 4 26B A4B Thinking costs $0.130 per 1M input tokens and $0.400 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Gemma 4 26B A4B Thinking?
Gemma 4 26B A4B Thinking has a context window of 262K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does Gemma 4 26B A4B Thinking support tool calling?
No. Gemma 4 26B A4B Thinking does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Gemma 4 26B A4B Thinking support structured output / JSON mode?
Yes. Gemma 4 26B A4B Thinking 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 Thinking accept image input?
Yes. Gemma 4 26B A4B Thinking accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.
Is Gemma 4 26B A4B Thinking open-weight?
No. Gemma 4 26B A4B Thinking is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Gemma 4 26B A4B Thinking?
If Gemma 4 26B A4B Thinking doesn't fit, consider ERNIE X1.1, Brave (Research), MiroThinker 1.7 Deep Research Mini. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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- v0 1.0 MD$3.00 in / $15.00 out
Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.