Capabilities
7-day heat trend
+6.1%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 82% of tracked models
- Efficiency rank: #117 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About gemma-4-31b-it:free
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...
gemma-4-31b-it:free is a Multimodal model from Google (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 262K-token context window, ~165 tokens/sec throughput and 98.6% availability. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
Compare gemma-4-31b-it:free
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Frequently asked questions
How much does gemma-4-31b-it:free cost per 1M tokens?+
gemma-4-31b-it:free is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is gemma-4-31b-it:free best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is gemma-4-31b-it:free?+
gemma-4-31b-it:free delivers about 165 tokens/sec with 98.6% tracked availability, suitable for latency-sensitive, real-time applications.
Is gemma-4-31b-it:free cheaper than other AI models?+
Within the HotON.ai tracked set, gemma-4-31b-it:free is cheaper than 43% of models on input price and ranks #117 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.