AIモデルインテリジェンス

Holo3-35B-A3B

nano-gpt/holo3-35b-a3b

提供： nano-gpt · リリース 2024-01-01

$0.250
入力 / 100万トークン
$1.80
出力 / 100万トークン
66K
コンテキスト長
66K
最大出力

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

機能一覧

✓ ツール呼び出し✓ 推論✓ 構造化出力✓ 添付✗ オープンウェイト? 温度制御
モダリティ: 入力 text, image · 出力 text

Model fit scores

0–100 · higher is better

These 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
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output86
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume16/20
Cost efficiency55
  • Headline price (log-scaled)55/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Vision73
  • Accepts image input50/50
  • Context window (10K → 1M)12/30
  • Has published price10/10
  • Provider availability1/10
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.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$2.15
< $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
$4.30
< $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
$1.40
< $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
$3.80
< $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
$4.08
< $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): nano-gpt · holo3-35b-a3b

$0.250
入力
$1.80
出力

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
NanoGPT
nano-gpt
holo3-35b-a3b$0.250$1.8066K2024-01-01

Frequently asked questions

How much does Holo3-35B-A3B cost?

Holo3-35B-A3B costs $0.250 per 1M input tokens and $1.80 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Holo3-35B-A3B?

Holo3-35B-A3B has a context window of 66K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Holo3-35B-A3B support tool calling?

Yes. Holo3-35B-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 Holo3-35B-A3B support structured output / JSON mode?

Yes. Holo3-35B-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 Holo3-35B-A3B accept image input?

Yes. Holo3-35B-A3B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.

Is Holo3-35B-A3B open-weight?

No. Holo3-35B-A3B is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Holo3-35B-A3B?

If Holo3-35B-A3B doesn't fit, consider v0 1.5 LG, v0 1.0 MD, Auto model (Basic). 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

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See also

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.