KI‑Modell‑Intelligenz

Qwen2.5 Coder 32B Instruct

openrouter/2-5-coder-32b-instruct

Von openrouter · Familie: qwen · veröffentlicht 2024-11-11 · Wissensstand: 2024-10

⚠ Dies ist ein Community-Finetune oder Derivat — keine offizielle Anbieter-Veröffentlichung.

Unbekannt
Eingabe / 1 Mio. Tokens
Unbekannt
Ausgabe / 1 Mio. Tokens
33K
Kontextfenster
8K
Max. Ausgabe

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

Fähigkeiten

✗ Tool Calling✗ Reasoning✓ Strukturierte Ausgabe✗ Anhänge✓ Offene Gewichte✓ Temperatur-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.

Coding21
  • Tool calling0/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents31
  • Tool calling0/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output60
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness30
  • 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)0/15

Cost Efficiency Index

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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
qwen/qwen-2.5-coder-32b-instructUnknownUnknown33K2024-11-11

Frequently asked questions

How much does Qwen2.5 Coder 32B Instruct cost?

Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct?

Qwen2.5 Coder 32B Instruct has a context window of 33K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen2.5 Coder 32B Instruct support tool calling?

No. Qwen2.5 Coder 32B Instruct does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Qwen2.5 Coder 32B Instruct support structured output / JSON mode?

Yes. Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct accept image input?

No. Qwen2.5 Coder 32B Instruct only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen2.5 Coder 32B Instruct open-weight?

Yes. Qwen2.5 Coder 32B Instruct'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 Qwen2.5 Coder 32B Instruct?

If Qwen2.5 Coder 32B Instruct doesn't fit, consider LFM2.5-1.2B-Instruct (free), LFM2.5-1.2B-Thinking (free), Owl Alpha. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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See also

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.