Choose Google: Gemma 4 26B A4B (free) if…
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; Nex AGI: Nex-N2.5-Mini (free) does not advertise it
Google: Gemma 4 26B A4B (free) vs Nex AGI: Nex-N2.5-Mini (free)
Neither wins outright: Google: Gemma 4 26B A4B (free) is the pick when you need seed (reproducible sampling), Nex AGI: Nex-N2.5-Mini (free) when you need log-probabilities.
Key numbers
| Spec | Google: Gemma 4 26B A4B (free) | Nex AGI: Nex-N2.5-Mini (free) |
|---|---|---|
| Provider | Nex Agi | |
| Input price (per 1M tokens) | $0 | $0 |
| Output price (per 1M tokens) | $0 | $0 |
| Blended price (3:1 input/output) | $0 | $0 |
| Cheaper than … of all models we track | 90% | 90% |
| Context window | 262K tokens (~393 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 47% | 47% |
| Max output per response | 33K tokens (~24,600 words) | 236K tokens (~176,900 words) |
| Input types | image, text, video | text, image |
| Output types | text | text |
| Free variant | Yes | Yes |
| Listed since | 2026-04-03 | 2026-09-08 |
Advertisement
What it costs for real workloads
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Google: Gemma 4 26B A4B (free) | Nex AGI: Nex-N2.5-Mini (free) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $0 | $0 | — |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $0 | $0 | — |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $0 | $0 | — |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $0 | $0 | — |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $0 | $0 | — |
Capabilities side by side
| Capability | Google: Gemma 4 26B A4B (free) | Nex AGI: Nex-N2.5-Mini (free) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | — | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
- Google: Gemma 4 26B A4B (free): price unchanged since we started tracking it on 2026-08-06.
- Nex AGI: Nex-N2.5-Mini (free): price unchanged since we started tracking it on 2026-09-09.
Which should you choose?
Choose Nex AGI: Nex-N2.5-Mini (free) if…
- you need log-probabilities — to read token confidence for classification and scoring; Google: Gemma 4 26B A4B (free) does not advertise it
- you generate long outputs in one go — up to 236K tokens (about 176,900 words) per response
- you want the newer model — released 2026-09-08, 5 months after the other
Frequently asked questions
Is Google: Gemma 4 26B A4B (free) better than Nex AGI: Nex-N2.5-Mini (free)?
Neither wins outright: Google: Gemma 4 26B A4B (free) is the pick when you need seed (reproducible sampling), Nex AGI: Nex-N2.5-Mini (free) when you need log-probabilities. In short: Google: Gemma 4 26B A4B (free) when you need seed (reproducible sampling); Nex AGI: Nex-N2.5-Mini (free) when you need log-probabilities, you generate long outputs in one go, you want the newer model.
Which is cheaper, Google: Gemma 4 26B A4B (free) or Nex AGI: Nex-N2.5-Mini (free)?
They cost the same: $0 per 1M tokens at a 3:1 input/output mix.
How much do Google: Gemma 4 26B A4B (free) and Nex AGI: Nex-N2.5-Mini (free) cost per million tokens?
Google: Gemma 4 26B A4B (free) costs $0 per 1M input tokens and $0 per 1M output tokens; Nex AGI: Nex-N2.5-Mini (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemma 4 26B A4B (free) or Nex AGI: Nex-N2.5-Mini (free)?
Both take 262K tokens per request — roughly 393 pages of text.
Do Google: Gemma 4 26B A4B (free) and Nex AGI: Nex-N2.5-Mini (free) support function calling and JSON output?
Tool calling — Google: Gemma 4 26B A4B (free): yes, Nex AGI: Nex-N2.5-Mini (free): yes. JSON-schema structured output — Google: Gemma 4 26B A4B (free): yes, Nex AGI: Nex-N2.5-Mini (free): yes.
Can Google: Gemma 4 26B A4B (free) or Nex AGI: Nex-N2.5-Mini (free) read images?
Yes, both accept image input.
Is Google: Gemma 4 26B A4B (free) or Nex AGI: Nex-N2.5-Mini (free) free to use?
Google: Gemma 4 26B A4B (free) has a free variant (google/gemma-4-26b-a4b-it:free); Nex AGI: Nex-N2.5-Mini (free) has a free variant (nex-agi/nex-n2.5-mini:free). Free variants usually carry tighter rate limits.
What is the maximum output length of Google: Gemma 4 26B A4B (free) and Nex AGI: Nex-N2.5-Mini (free)?
Google: Gemma 4 26B A4B (free) can write up to 33K tokens (about 24,600 words) per response; Nex AGI: Nex-N2.5-Mini (free) up to 236K (about 176,900 words).
When were Google: Gemma 4 26B A4B (free) and Nex AGI: Nex-N2.5-Mini (free) released?
Google: Gemma 4 26B A4B (free) was listed on 2026-04-03; Nex AGI: Nex-N2.5-Mini (free) on 2026-09-08.
About the two models
Google: Gemma 4 26B A4B (free)
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...
Full Google: Gemma 4 26B A4B (free) specs →Nex AGI: Nex-N2.5-Mini (free)
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...
Full Nex AGI: Nex-N2.5-Mini (free) specs →