Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), ggml-org/Qwen3.8-27B-GGUF when you need image output.
| Spec | google/gemma-3-4b-it | ggml-org/Qwen3.8-27B-GGUF |
|---|---|---|
| Provider | Hugging Face | |
| Input price (per 1M tokens) | $0.05 | n/a |
| Output price (per 1M tokens) | $0.10 | n/a |
| Blended price (3:1 input/output) | $0.06 | n/a |
| Cheaper than … of all models we track | 85% | n/a |
| Context window | 131K tokens (~197 pages) | n/a |
| Larger context than … of all models | 23% | n/a |
| Max output per response | 16K tokens (~12,300 words) | n/a |
| Input types | text, image | text |
| Output types | text | image |
| Free variant | Yes | No |
| Listed since | 2025-03-13 | n/a |
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-3-4b-it | ggml-org/Qwen3.8-27B-GGUF | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $5.75 | n/a | — |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $7.00 | n/a | — |
| 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) | $7.20 | n/a | — |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $4.60 | n/a | — |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.60 | n/a | — |
| Capability | google/gemma-3-4b-it | ggml-org/Qwen3.8-27B-GGUF | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | — | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | — | return JSON that validates against your schema |
| Reasoning / thinking mode | — | — | 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 | — | ✓ Yes | 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 | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-08-06 | google/gemma-3-4b-it | $0.05 | $0.10 |
Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), ggml-org/Qwen3.8-27B-GGUF when you need image output. In short: google/gemma-3-4b-it when you need structured output (JSON schema), you need image input, you need seed (reproducible sampling), you want to prototype at zero cost; ggml-org/Qwen3.8-27B-GGUF when you need image output.
Tool calling — google/gemma-3-4b-it: not advertised, ggml-org/Qwen3.8-27B-GGUF: not advertised. JSON-schema structured output — google/gemma-3-4b-it: yes, ggml-org/Qwen3.8-27B-GGUF: not advertised.
Only google/gemma-3-4b-it accepts image input; ggml-org/Qwen3.8-27B-GGUF is text-only for input.
google/gemma-3-4b-it has a free variant (google/gemma-3-4b-it:free). Free variants usually carry tighter rate limits.
google/gemma-3-4b-it: input price raised 20% ($0.04 → $0.05/1M), output price raised 20% ($0.08 → $0.10/1M) on 2026-08-06.
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Full google/gemma-3-4b-it specs →No description provided yet.
Full ggml-org/Qwen3.8-27B-GGUF specs →