Gemma 4 31B IT (Cerebras)
llmgateway-providers/gemma-4-31b-it제공: llmgateway-providers · 패밀리: gemma · 출시 2026-04-02
⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.
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.
Coding53
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output45
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume15/20
Cost efficiency53
- Headline price (log-scaled)53/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Vision78
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- 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)0/15
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 | $5.70 < $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 | $11.39 < $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 | $2.73 < $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 | $9.41 < $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 | $12.77 $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: llmgateway-providers · cerebras/gemma-4-31b-it
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| LLM Gateway llmgateway-providers | cerebras/gemma-4-31b-it | $0.990 | $1.49 | 131K | 2026-04-02 |
Frequently asked questions
How much does Gemma 4 31B IT (Cerebras) cost?
Gemma 4 31B IT (Cerebras) costs $0.990 per 1M input tokens and $1.49 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 (Cerebras)?
Gemma 4 31B IT (Cerebras) has a context window of 131K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Gemma 4 31B IT (Cerebras) support tool calling?
Yes. Gemma 4 31B IT (Cerebras) 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 (Cerebras) support structured output / JSON mode?
No. Gemma 4 31B IT (Cerebras) 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 (Cerebras) accept image input?
Yes. Gemma 4 31B IT (Cerebras) accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check llmgateway-providers's docs for the exact rule.
Is Gemma 4 31B IT (Cerebras) open-weight?
Yes. Gemma 4 31B IT (Cerebras)'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 (Cerebras)?
If Gemma 4 31B IT (Cerebras) doesn't fit, consider GPT OSS 20B (Together AI), InclusionAI Ling 3.0 Flash (DeepInfra), Hy3 (DeepInfra). 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 llmgateway-providers models
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- InclusionAI Ling 3.0 Flash (DeepInfra)$0.06 in / $0.18 out
- Hy3 (DeepInfra)$0.14 in / $0.58 out
- Cosmos 3 Super Reasoner (Nebius AI)$0.10 in / $0.30 out
- Hermes 4 70B (Nebius AI)$0.13 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.