Gemma 4 31B IT (NovitaAI)
novita/gemma-4-31b-it提供： novita · ファミリー: gemma · リリース 2026-04-02
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding49
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents51
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output49
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency69
- Headline price (log-scaled)69/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Production-readiness65
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.90 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.80 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.48 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.52 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.92 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): llmgateway-providers · novita/gemma-4-31b-it
1 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| LLM Gateway llmgateway-providers | novita/gemma-4-31b-it | $0.140 | $0.400 | 262K | 2026-04-02 |
Frequently asked questions
How much does Gemma 4 31B IT (NovitaAI) cost?
Gemma 4 31B IT (NovitaAI) costs $0.140 per 1M input tokens and $0.400 per 1M output tokens, sourced from llmgateway-providers. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Gemma 4 31B IT (NovitaAI)?
Gemma 4 31B IT (NovitaAI) has a context window of 262K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Gemma 4 31B IT (NovitaAI) support tool calling?
Yes. Gemma 4 31B IT (NovitaAI) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Gemma 4 31B IT (NovitaAI) support structured output / JSON mode?
No. Gemma 4 31B IT (NovitaAI) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Gemma 4 31B IT (NovitaAI) accept image input?
No. Gemma 4 31B IT (NovitaAI) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Gemma 4 31B IT (NovitaAI) open-weight?
Yes. Gemma 4 31B IT (NovitaAI)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Gemma 4 31B IT (NovitaAI)?
If Gemma 4 31B IT (NovitaAI) doesn't fit, consider GLM-4.6 (NovitaAI), GLM-4.7 (NovitaAI), DeepSeek V3.2 (NovitaAI). Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
最終更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.