KI‑Modell‑Intelligenz

LFM2.5-1.2B-Thinking (free)

openrouter/lfm-2-5-1-2b-thinking-free

Von openrouter · Familie: liquid · veröffentlicht 2026-01-20 · Wissensstand: 2025-06

Unbekannt
Eingabe / 1 Mio. Tokens
Unbekannt
Ausgabe / 1 Mio. Tokens
33K
Kontextfenster
33K
Max. Ausgabe

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

Fähigkeiten

Tool CallingReasoningStrukturierte AusgabeAnhängeOffene GewichteTemperatur-Steuerung
Modalitäten: Eingabe text · Ausgabe 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 output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness45
  • Number of independent providers5/40
  • Has published per-token price0/20
  • 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.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Bei 1 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
OpenRouter
openrouter
liquid/lfm-2.5-1.2b-thinking:freeUnknownUnknown33K2026-01-20

Frequently asked questions

How much does LFM2.5-1.2B-Thinking (free) cost?

LFM2.5-1.2B-Thinking (free) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check openrouter's official pricing page for the most current rates.

What is the context window of LFM2.5-1.2B-Thinking (free)?

LFM2.5-1.2B-Thinking (free) has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does LFM2.5-1.2B-Thinking (free) support tool calling?

Yes. LFM2.5-1.2B-Thinking (free) 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 LFM2.5-1.2B-Thinking (free) support structured output / JSON mode?

Yes. LFM2.5-1.2B-Thinking (free) 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 LFM2.5-1.2B-Thinking (free) accept image input?

No. LFM2.5-1.2B-Thinking (free) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is LFM2.5-1.2B-Thinking (free) open-weight?

Yes. LFM2.5-1.2B-Thinking (free)'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 LFM2.5-1.2B-Thinking (free)?

If LFM2.5-1.2B-Thinking (free) doesn't fit, consider Ling-2.6-1T, Ring-2.6-1T, Ling-2.6-flash. 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.

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Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.