Gemma 4 31B IT
google/gemma-4-31b-it제공: Google · 패밀리: gemma · 출시 2026-04-02 · 지식 컷오프: 2025-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding88
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency77
- Headline price (log-scaled)72/95
- Has prompt-cache pricing5/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision91
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- 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 | $0.65 < $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 | $1.30 < $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 | $0.35 < $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 | $1.10 < $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 | $1.38 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: crof · gemma-4-31b-it
가장 저렴한 제공자: nvidia · Unknown 입력 + Unknown 출력
26곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Google google | gemma-4-31b-it | Unknown | Unknown | 262K | 2026-04-02 |
| OpenRouter openrouter | google/gemma-4-31b-it | $0.120 | $0.350 | 262K | 2026-04-02 |
| Vercel AI Gateway vercel | google/gemma-4-31b-it | $0.140 | $0.400 | 262K | 2026-04-02 |
| Together AI togetherai | google/gemma-4-31B-it | $0.390 | $0.970 | 262K | 2026-04-07 |
| Together AI togetherai | pearl-ai/gemma-4-31b-it | $0.280 | $0.860 | 32K | 2026-04-07 |
| Deep Infra deepinfra | google/gemma-4-31B-it | $0.130 | $0.380 | 262K | 2026-04-02 |
| Hugging Face huggingface | google/gemma-4-31B-it | $0.140 | $0.400 | 262K | 2026-04-02 |
| NovitaAI novita-ai | google/gemma-4-31b-it | $0.140 | $0.400 | 262K | 2026-04-02 |
| DigitalOcean digitalocean | gemma-4-31B-it | $0.180 | $0.500 | 256K | 2026-04-22 |
| Venice AI venice | google-gemma-4-31b-it | $0.120 | $0.360 | 256K | 2026-04-03 |
| Berget.AI berget | google/gemma-4-31B-it | $0.275 | $0.550 | 128K | 2026-04-02 |
| Merge Gateway merge-gateway | google/gemma-4-31b-it | Unknown | Unknown | 262K | 2026-04-02 |
| OrcaRouter orcarouter | google/gemma-4-31b-it | $0.130 | $0.380 | 262K | 2026-04-02 |
| NEAR AI Cloud nearai | google/gemma-4-31B-it | $0.130 | $0.400 | 262K | 2026-04-02 |
| LLM Gateway llmgateway | gemma-4-31b-it | $0.130 | $0.380 | 262K | 2026-04-02 |
| Nvidia nvidia | google/gemma-4-31b-it | Unknown | Unknown | 256K | 2026-04-02 |
| SiliconFlow siliconflow | google/gemma-4-31B-it | $0.130 | $0.400 | 262K | 2026-04-02 |
| Friendli friendli | google/gemma-4-31B-it | $0.140 | $0.400 | 262K | 2026-04-02 |
| Kilo Gateway kilo | google/gemma-4-31b-it | $0.140 | $0.400 | 262K | 2026-04-02 |
| CrofAI crof | gemma-4-31b-it | $0.100 | $0.300 | 262K | 2026-04-02 |
| FastRouter fastrouter | google/gemma-4-31b-it | $0.130 | $0.380 | 262K | 2026-04-02 |
| routing.run routing-run | route/gemma-4-31b-it | $0.100 | $0.300 | 131K | 2026-04-02 |
| NanoGPT nano-gpt | Gemma-4-31B-it | $0.306 | $0.306 | 262K | 2026-04-09 |
| NanoGPT nano-gpt | google/gemma-4-31b-it | $0.100 | $0.350 | 262K | 2026-04-02 |
| NanoGPT nano-gpt | TEE/gemma-4-31b-it | $0.150 | $0.460 | 262K | 2026-05-26 |
| Lilac lilac | google/gemma-4-31b-it | $0.110 | $0.350 | 262K | 2026-04-02 |
제공자 간 데이터 불일치
- context_window varies: 128000, 131072, 256000, 262100, 262144, 32000
- release_date varies (span 54d): 2026-04-02, 2026-04-03, 2026-04-07, 2026-04-09, 2026-04-22, 2026-05-26
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Gemma 4 31B IT cost?
Gemma 4 31B IT costs $0.100 per 1M input tokens and $0.300 per 1M output tokens, sourced from crof. 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?
Gemma 4 31B IT 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 support tool calling?
Yes. Gemma 4 31B IT 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 support structured output / JSON mode?
Yes. Gemma 4 31B IT supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Gemma 4 31B IT accept image input?
Yes. Gemma 4 31B IT accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.
Is Gemma 4 31B IT open-weight?
Yes. Gemma 4 31B IT'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?
If Gemma 4 31B IT doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. 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.
Explore more
More Google models
- Gemini 2.5 Pro$1.25 in / $10.00 out
- Gemini 2.5 Flash$0.30 in / $2.50 out
- Gemini 3 Flash Preview$0.50 in / $3.00 out
- Gemini 3.1 Pro Preview$2.00 in / $12.00 out
- Gemini 2.5 Flash-Lite$0.10 in / $0.40 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.