AIモデルインテリジェンス

Inkling Small

openrouter/inkling-small

提供： openrouter · ファミリー: ling · リリース 2026-07-30

$0.500
入力 / 100万トークン
$1.20
出力 / 100万トークン
524K
コンテキスト長
262K
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, audio · 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.

Coding65
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)14/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output47
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency62
  • Headline price (log-scaled)57/95
  • Has prompt-cache pricing5/5
Long context76
  • Context window (100K → 2M)66/90
  • Has published price for full window10/10
Vision87
  • Accepts image input50/50
  • Context window (10K → 1M)26/30
  • 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
$3.10
< $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
$6.20
< $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
$1.60
< $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
$5.20
< $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
$6.72
< $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): openrouter · thinkingmachines/inkling-small

$0.500
入力
$1.20
出力
$0.100
キャッシュ読み取り

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
OpenRouter
openrouter
thinkingmachines/inkling-small$0.500$1.20524K2026-07-30

Frequently asked questions

How much does Inkling Small cost?

Inkling Small costs $0.500 per 1M input tokens and $1.20 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Inkling Small?

Inkling Small has a context window of 524K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.

Does Inkling Small support tool calling?

Yes. Inkling Small 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 Inkling Small support structured output / JSON mode?

No. Inkling Small does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Inkling Small accept image input?

Yes. Inkling Small accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.

Is Inkling Small open-weight?

Yes. Inkling Small'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 Inkling Small?

If Inkling Small doesn't fit, consider OpenAI GPT Latest, OpenAI GPT Mini Latest, Cogito v2.1 671B. 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 openrouter models

Capability lists this model is in

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.