Google: Gemma 4 31B
Catalog snapshot on AI Hippo. This model is discoverable on-site even when it is not currently included in the global ranking list.
Data updated:
Model
4 verified sources
Aggregator quote only — no official sync yet
Next steps on AI Hippo
Open weights snapshot
google/gemma-4-31b-it
Task image-text-to-text
- Downloads
- 12.1M
- Likes
- 3.3k
- Parameters
- 0B
90d download trend
This model is currently available from the catalog snapshot and may not be included in the latest ranked board yet.
About this model
Google: Gemma 4 31B is listed in our model catalog as a Multimodal model with 262,144 ctx and a snapshot average price around $0.22 per 1M tokens. The tables below summarize the latest catalog snapshot; use Compare or the Token hub to dig deeper.
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Capabilities & specs
- Modality
- text+image+video->text
- Input modalities
- image, text, video
- Supported API parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_logprobs, top_p
Catalog description: 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...
Token pricing by provider
Compare per-provider token prices for this model across available platforms.
| Provider | Input / 1M tokens | Output / 1M tokens | Latency | Status |
|---|---|---|---|---|
| DeepInfra | $0.13 | $0.38 | — | Verified · 2026-08-02 |
| OpenRouter | $0.10 | $0.34 | — | Verified · 2026-08-02 |
| SiliconFlow | $0.13 | $0.40 | — | Verified · 2026-08-02 |
| Together | $0.39 | $0.97 | — | Verified · 2026-08-02 |
Provider prices are sourced from the token comparison dataset and may change between snapshots.
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FAQ
Why is the official price missing?
Official rows require a verified direct vendor or cloud API price. When only aggregators list a model, the Official column shows — and verified aggregator quotes appear in the token table.
How is context different from max output tokens?
Context window is how much input the model can accept in a single request. Max output tokens is the per-response generation cap from the primary listing—often much smaller than the context window.
Where do multi-provider prices come from?
Prices are crawled or synced from token providers (OpenRouter, Groq, Together, and others) and merged into the infrastructure comparison dataset. Verified rows show a fetch date in the status column.
Data source & methodology
- Source
- OpenRouter catalog, verified vendor crawls, and Hugging Face hub snapshots.
- Metrics
- Context window, blended 1M-token price, max output tokens, and capability fields from the OpenRouter models API.
- Update cadence
- Daily pipeline refresh; provider prices may change between snapshots.
- Fetched at
- 2026-08-02
- Method
- Composite rank uses on-site context × price weighting (not LMSYS Arena ELO).