Capabilities
7-day heat trend
−7.9%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 70% of tracked models
- Faster than 81% of tracked models
- Efficiency rank: #50 of 120
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About Gemma 4 31B
Gemma 4 31B is a Multimodal model from Google (US). HotON.ai tracks it at $0.12 per 1M input tokens and $0.36 per 1M output tokens, with a 262K-token context window, ~164 tokens/sec throughput and 100.0% availability. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
Compare Gemma 4 31B
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Frequently asked questions
How much does Gemma 4 31B cost per 1M tokens?+
Gemma 4 31B is tracked at $0.12 per 1M input tokens and $0.36 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.30 per 1M tokens. Figures are illustrative demo data.
What is Gemma 4 31B best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is Gemma 4 31B?+
Gemma 4 31B delivers about 164 tokens/sec with 100.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is Gemma 4 31B cheaper than other AI models?+
Within the HotON.ai tracked set, Gemma 4 31B is cheaper than 70% of models on input price and ranks #50 of 120 by overall efficiency.
Related models
Pricing and availability are real (via OpenRouter, updated daily — availability is the best-serving provider's 24h uptime). Efficiency is a HotON composite of real price and context. Speed is a modeled estimate.