Gemma 4 31B
gemma-4-31b-itGemma 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... Built by Google.
Prices updated
Input price
$0.09
per 1M tokens · Standard
Output price
$0.34
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
16K
tokens
Input formats
Output formats
Gemma 4 31B price history
2 price records since 9/25/2026
Gemma 4 31B cost calculator
$3.50/month
Standard pricing
Overview
What is Gemma 4 31B?
Gemma 4 31B is a text & reasoning and vision model from Google. 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... Its 262K context window and $0.09 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Gemma 4 31B benchmarks & speed
How Gemma 4 31B scores on standardized evaluations, and where it lands among every model we track.
14.7
Intelligence Index
36tok/s
Output speed
Reasoning
GPQA Diamond
85.7%
Graduate-level scientific reasoning · top 41%
HLE
23.6%
Humanity's Last Exam · top 46%
Coding
SciCode
45.5%
Python for scientific computing · top 68%
Latency & design
- Time to first token
- 1.12s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemma 4 31B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.09
Per 1M tokens
Cached input · Standard
$0.05
Per 1M tokens
Capabilities
Gemma 4 31B Tools
Tools available when using Gemma 4 31B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.09 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider