Choose Google: Gemma 4 31B (batch) if…
- you generate long outputs in one go — up to 236K tokens (about 176,900 words) per response
Google: Gemma 4 31B (batch) vs Qwen: Qwen3.7 Plus (batch)
Neither wins outright: Google: Gemma 4 31B (batch) is the pick when you generate long outputs in one go, Qwen: Qwen3.7 Plus (batch) when cost matters at scale.
Key numbers
| Spec | Google: Gemma 4 31B (batch) | Qwen: Qwen3.7 Plus (batch) |
|---|---|---|
| Provider | Qwen | |
| Input price (per 1M tokens) | $0.39 | $0.23 |
| Output price (per 1M tokens) | $0.97 | $0.92 |
| Blended price (3:1 input/output) | $0.53 | $0.40 |
| Cheaper than … of all models we track | 52% | 57% |
| Context window | 262K tokens (~393 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 48% | 48% |
| Max output per response | 236K tokens (~176,900 words) | 131K tokens (~98,300 words) |
| Input types | image, text, video | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-04-02 | 2026-06-03 |
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 31B (batch) | Qwen: Qwen3.7 Plus (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $48.65 | $35.65 | Qwen: Qwen3.7 Plus (batch) saves $13.00 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $56.50 | $36.80 | Qwen: Qwen3.7 Plus (batch) saves $19.70 |
| 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) | $58.44 | $38.64 | Qwen: Qwen3.7 Plus (batch) saves $19.80 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $37.02 | $23.92 | Qwen: Qwen3.7 Plus (batch) saves $13.10 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $20.47 | $12.42 | Qwen: Qwen3.7 Plus (batch) saves $8.05 |
Capabilities side by side
| Capability | Google: Gemma 4 31B (batch) | Qwen: Qwen3.7 Plus (batch) | 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 31B (batch): price unchanged since we started tracking it on 2026-08-29.
- Qwen: Qwen3.7 Plus (batch): price unchanged since we started tracking it on 2026-10-17.
Which should you choose?
Choose Qwen: Qwen3.7 Plus (batch) if…
- cost matters at scale — it is 25% cheaper on a typical 3:1 input/output mix ($35.65 vs $48.65 a month for 50,000 support chats)
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; Google: Gemma 4 31B (batch) does not advertise it
- you need log-probabilities — to read token confidence for classification and scoring; Google: Gemma 4 31B (batch) does not advertise it
Frequently asked questions
Is Google: Gemma 4 31B (batch) better than Qwen: Qwen3.7 Plus (batch)?
Neither wins outright: Google: Gemma 4 31B (batch) is the pick when you generate long outputs in one go, Qwen: Qwen3.7 Plus (batch) when cost matters at scale. In short: Google: Gemma 4 31B (batch) when you generate long outputs in one go; Qwen: Qwen3.7 Plus (batch) when cost matters at scale, you need seed (reproducible sampling), you need log-probabilities.
Which is cheaper, Google: Gemma 4 31B (batch) or Qwen: Qwen3.7 Plus (batch)?
Qwen: Qwen3.7 Plus (batch) is cheaper: $0.40 vs $0.53 per 1M tokens at a typical 3:1 input/output mix, 25% less. For 50,000 support conversations a month that is $35.65 against $48.65.
How much do Google: Gemma 4 31B (batch) and Qwen: Qwen3.7 Plus (batch) cost per million tokens?
Google: Gemma 4 31B (batch) costs $0.39 per 1M input tokens and $0.97 per 1M output tokens; Qwen: Qwen3.7 Plus (batch) costs $0.23 input and $0.92 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemma 4 31B (batch) or Qwen: Qwen3.7 Plus (batch)?
Both take 262K tokens per request — roughly 393 pages of text.
Do Google: Gemma 4 31B (batch) and Qwen: Qwen3.7 Plus (batch) support function calling and JSON output?
Tool calling — Google: Gemma 4 31B (batch): yes, Qwen: Qwen3.7 Plus (batch): yes. JSON-schema structured output — Google: Gemma 4 31B (batch): yes, Qwen: Qwen3.7 Plus (batch): yes.
Can Google: Gemma 4 31B (batch) or Qwen: Qwen3.7 Plus (batch) read images?
Yes, both accept image input.
Is Google: Gemma 4 31B (batch) or Qwen: Qwen3.7 Plus (batch) free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Google: Gemma 4 31B (batch) and Qwen: Qwen3.7 Plus (batch)?
Google: Gemma 4 31B (batch) can write up to 236K tokens (about 176,900 words) per response; Qwen: Qwen3.7 Plus (batch) up to 131K (about 98,300 words).
When were Google: Gemma 4 31B (batch) and Qwen: Qwen3.7 Plus (batch) released?
Google: Gemma 4 31B (batch) was listed on 2026-04-02; Qwen: Qwen3.7 Plus (batch) on 2026-06-03.
About the two models
Google: Gemma 4 31B (batch)
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Full Google: Gemma 4 31B (batch) specs →Qwen: Qwen3.7 Plus (batch)
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Full Qwen: Qwen3.7 Plus (batch) specs →