Choose Google: Gemma 4 26B A4B (free) if…
- you need image input — to read screenshots, charts and scanned pages; XingChen: Xing4.0 29B A4B (free) does not advertise it
Neither wins outright: Google: Gemma 4 26B A4B (free) is the pick when you need image input, XingChen: Xing4.0 29B A4B (free) when you generate long outputs in one go.
| Spec | Google: Gemma 4 26B A4B (free) | XingChen: Xing4.0 29B A4B (free) |
|---|---|---|
| Provider | Xingchen 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 | 48% | 48% |
| Max output per response | 33K tokens (~24,600 words) | 236K tokens (~176,900 words) |
| Input types | image, text, video | text |
| Output types | text | text |
| Free variant | Yes | Yes |
| Listed since | 2026-04-03 | 2026-10-16 |
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) | XingChen: Xing4.0 29B A4B (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 | — |
| Capability | Google: Gemma 4 26B A4B (free) | XingChen: Xing4.0 29B A4B (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 | — | 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 | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Neither wins outright: Google: Gemma 4 26B A4B (free) is the pick when you need image input, XingChen: Xing4.0 29B A4B (free) when you generate long outputs in one go. In short: Google: Gemma 4 26B A4B (free) when you need image input; XingChen: Xing4.0 29B A4B (free) when you generate long outputs in one go, you want the newer model.
They cost the same: $0 per 1M tokens at a 3:1 input/output mix.
Google: Gemma 4 26B A4B (free) costs $0 per 1M input tokens and $0 per 1M output tokens; XingChen: Xing4.0 29B A4B (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.
Both take 262K tokens per request — roughly 393 pages of text.
Tool calling — Google: Gemma 4 26B A4B (free): yes, XingChen: Xing4.0 29B A4B (free): yes. JSON-schema structured output — Google: Gemma 4 26B A4B (free): yes, XingChen: Xing4.0 29B A4B (free): yes.
Only Google: Gemma 4 26B A4B (free) accepts image input; XingChen: Xing4.0 29B A4B (free) is text-only for input.
Google: Gemma 4 26B A4B (free) has a free variant (google/gemma-4-26b-a4b-it:free); XingChen: Xing4.0 29B A4B (free) has a free variant (xingchen-agi/xing4.0-29b-a4b:free). Free variants usually carry tighter rate limits.
Google: Gemma 4 26B A4B (free) can write up to 33K tokens (about 24,600 words) per response; XingChen: Xing4.0 29B A4B (free) up to 236K (about 176,900 words).
Google: Gemma 4 26B A4B (free) was listed on 2026-04-03; XingChen: Xing4.0 29B A4B (free) on 2026-10-16.
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...
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