holo2-30b-a3b
cortecs/holo2-30b-a3b제공: cortecs · 출시 2025-12-10
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.
Coding71
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents88
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit12/15
- Provider availability1/10
JSON / structured output88
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume18/20
Cost efficiency61
- Headline price (log-scaled)61/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision66
- Accepts image input50/50
- Context window (10K → 1M)5/30
- Has published price10/10
- Provider availability1/10
Production-readiness58
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- 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 | $2.06 < $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 | $4.12 < $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 | $1.06 < $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 | $3.45 < $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 | $4.48 < $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: cortecs · holo2-30b-a3b
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Cortecs cortecs | holo2-30b-a3b | $0.334 | $0.780 | 22K | 2025-12-10 |
Frequently asked questions
How much does holo2-30b-a3b cost?
holo2-30b-a3b costs $0.334 per 1M input tokens and $0.780 per 1M output tokens, sourced from cortecs. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of holo2-30b-a3b?
holo2-30b-a3b has a context window of 22K tokens, with a max output of 22K tokens per reply. This is the total combined size of prompt + completion.
Does holo2-30b-a3b support tool calling?
Yes. holo2-30b-a3b 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 holo2-30b-a3b support structured output / JSON mode?
Yes. holo2-30b-a3b 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 holo2-30b-a3b accept image input?
Yes. holo2-30b-a3b accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check cortecs's docs for the exact rule.
Is holo2-30b-a3b open-weight?
No. holo2-30b-a3b is a proprietary model — only cortecs (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to holo2-30b-a3b?
If holo2-30b-a3b doesn't fit, consider apertus-70b, voxtral-small-2507, GPT OSS Safeguard 120B. 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 cortecs models
- apertus-70b$1.39 in / $2.23 out
- voxtral-small-2507$0.11 in / $0.33 out
- GPT OSS Safeguard 120B$0.18 in / $0.70 out
- GPT OSS 20B$0.04 in / $0.17 out
- ministral-8b-2512$0.17 in / $0.17 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.