Google: Gemma 4 31B
Gemma 4 31B from Google is a versatile AI model capable of handling text, images, and video inputs, with a substantial context length of 262,144 tokens. It supports both reasoning and tool integration, making it suitable for complex tasks that require understanding across multiple modalities. This model excels in scenarios where you need a robust AI with broad capabilities, but at a higher cost due to its pay-per-token pricing of $0.12 for inputs and $0.37 for outputs. Its benchmark score of 57.2 across four independent tests indicates strong performance, though the coverage is moderate. Gemma 4 31B is ideal for projects requiring extensive input handling and diverse output capabilities within a budget that allows for higher costs.
Benchmark results
Independent, published benchmarks. Blended score 57.2 across 4 benchmarks, last refreshed 2026-07-21. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 48.4 |
| AI Index Coding | software engineering tasks | 71.7 |
| AI Index Agentic | multi-step tool-using tasks | 23.8 |
| EQ-Bench | emotional understanding in dialogue | 70.8 |
- Model ID
- google/gemma-4-31b-it
- Vendor
- Released
- April 2026
- Tokenizer
- Gemma
- Input Modalities
- image, text, video
- Output Modalities
- text
- Max Output
- 16,384 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.12/M input and $0.37/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.08 |
| A month of a busy support chatbot | 5M in / 2M out | $1.34 |
Price & spec history
Tracked daily by PicksByModel since 2026-07-17.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-07-21 | $0.12 | $0.37 | 262,144 |
| 2026-07-17 | $0.22 | $0.55 | 262,144 |
Category rankings
Where Google: Gemma 4 31B places across the 25 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #6 | Real-Time ChatLatency · of 25 ranked | 118 |
| #7 | Self-Hosted / LocalCost · of 25 ranked | 117 |
| #8 | Social Media PostsWriting · of 25 ranked | 119 |
| #8 | Voice Assistant BackendVoice · of 25 ranked | 123 |
| #8 | Video SummarizationVideo · of 25 ranked | 151 |
| #8 | Cheap Bulk InferenceCost · of 25 ranked | 137 |
| #11 | Short-Form SummarizationWriting · of 25 ranked | 129 |
| #11 | Chat CompanionPersonal · of 25 ranked | 129 |
| #12 | Bulk Data LabelingData · of 25 ranked | 133 |
| #12 | Email DraftingWriting · of 25 ranked | 125 |
| #12 | Language LearningEducation · of 25 ranked | 125 |
| #12 | Video Auto-TaggingVideo · of 25 ranked | 123 |
| #15 | Image CaptioningVision · of 25 ranked | 120 |
| #15 | Trivia & General KnowledgePersonal · of 25 ranked | 119 |
| #15 | Dataset AnnotationResearch · of 25 ranked | 141 |
| #17 | Code CompletionCode · of 25 ranked | 132 |
| #17 | JSON ExtractionData · of 25 ranked | 143 |
| #19 | Customer SupportBusiness · of 25 ranked | 131 |
| #19 | Sales / Cold EmailBusiness · of 25 ranked | 121 |
| #19 | Job Application DraftingBusiness · of 25 ranked | 121 |
| #19 | Journaling HelperPersonal · of 25 ranked | 121 |
| #19 | Recipe GenerationPersonal · of 25 ranked | 121 |
| #24 | Resume WritingBusiness · of 25 ranked | 115 |
| #25 | OCR / Document ParsingData · of 25 ranked | 140 |
| #25 | Table Extraction from PDFsData · of 25 ranked | 140 |
Similar models
Google: Gemini 3.5 Flash
Google: Gemini 3.1 Flash Lite
Google: Gemma 4 26B A4B
Google: Gemma 4 26B A4B (free)
Google: Gemma 4 31B (free)
Google: Gemini 3.1 Flash Lite Preview
Quick answers
- How much does Google: Gemma 4 31B cost?
- $0.12 per million input tokens and $0.37 per million output tokens.
- What is Google: Gemma 4 31B's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does Google: Gemma 4 31B support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Google: Gemma 4 31B process images?
- Yes, it accepts image input.