Choose Google: Gemma 4 31B (batch) if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Google: Gemma 4 31B (batch) vs Mistral: Mistral Small 4
Mistral: Mistral Small 4 comes out ahead on the data we track: 2 advantages and none for Google: Gemma 4 31B (batch).
Key numbers
| Spec | Google: Gemma 4 31B (batch) | Mistral: Mistral Small 4 |
|---|---|---|
| Provider | Mistral AI | |
| Input price (per 1M tokens) | $0.39 | $0.15 |
| Output price (per 1M tokens) | $0.97 | $0.60 |
| Blended price (3:1 input/output) | $0.53 | $0.26 |
| Cheaper than … of all models we track | 52% | 64% |
| 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) | 210K tokens (~157,300 words) |
| Input types | image, text, video | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-04-02 | 2026-03-16 |
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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) | Mistral: Mistral Small 4 | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $48.65 | $23.25 | Mistral: Mistral Small 4 saves $25.40 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $56.50 | $24.00 | Mistral: Mistral Small 4 saves $32.50 |
| 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 | $25.20 | Mistral: Mistral Small 4 saves $33.24 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $37.02 | $15.60 | Mistral: Mistral Small 4 saves $21.42 |
| 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 | $8.10 | Mistral: Mistral Small 4 saves $12.37 |
Capabilities side by side
| Capability | Google: Gemma 4 31B (batch) | Mistral: Mistral Small 4 | 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 | — | — | 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.
- Mistral: Mistral Small 4: price unchanged since we started tracking it on 2026-03-31.
Which should you choose?
Choose Mistral: Mistral Small 4 if…
- cost matters at scale — it is 51% cheaper on a typical 3:1 input/output mix ($23.25 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
Frequently asked questions
Is Google: Gemma 4 31B (batch) better than Mistral: Mistral Small 4?
Mistral: Mistral Small 4 comes out ahead on the data we track: 2 advantages and none for Google: Gemma 4 31B (batch).
Which is cheaper, Google: Gemma 4 31B (batch) or Mistral: Mistral Small 4?
Mistral: Mistral Small 4 is cheaper: $0.26 vs $0.53 per 1M tokens at a typical 3:1 input/output mix, 51% less. For 50,000 support conversations a month that is $23.25 against $48.65.
How much do Google: Gemma 4 31B (batch) and Mistral: Mistral Small 4 cost per million tokens?
Google: Gemma 4 31B (batch) costs $0.39 per 1M input tokens and $0.97 per 1M output tokens; Mistral: Mistral Small 4 costs $0.15 input and $0.60 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemma 4 31B (batch) or Mistral: Mistral Small 4?
Both take 262K tokens per request — roughly 393 pages of text.
Do Google: Gemma 4 31B (batch) and Mistral: Mistral Small 4 support function calling and JSON output?
Tool calling — Google: Gemma 4 31B (batch): yes, Mistral: Mistral Small 4: yes. JSON-schema structured output — Google: Gemma 4 31B (batch): yes, Mistral: Mistral Small 4: yes.
Can Google: Gemma 4 31B (batch) or Mistral: Mistral Small 4 read images?
Yes, both accept image input.
Is Google: Gemma 4 31B (batch) or Mistral: Mistral Small 4 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 Mistral: Mistral Small 4?
Google: Gemma 4 31B (batch) can write up to 236K tokens (about 176,900 words) per response; Mistral: Mistral Small 4 up to 210K (about 157,300 words).
When were Google: Gemma 4 31B (batch) and Mistral: Mistral Small 4 released?
Google: Gemma 4 31B (batch) was listed on 2026-04-02; Mistral: Mistral Small 4 on 2026-03-16.
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 →Mistral: Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Full Mistral: Mistral Small 4 specs →