Ideal für: JSON / Structured Output

Best LLM for JSON / Structured Output

Ranked on JSON-mode reliability, schema-adherence, and price. Failures here tax the rest of your pipeline.

Aktualisiert April 2026. Top 3 diesen Monat: R1 0528, Qwen3.5 Plus 2026-02-15, DeepSeek V3.

Podium

This month’s top three.

  • 1
    R1 0528
    DeepSeek
    Input / 1M
    $0.50
    Output / 1M
    $2.15
    Context
    163,840
    Model page
  • 2
    Qwen3.5 Plus 2026-02-15
    Qwen
    Input / 1M
    $0.26
    Output / 1M
    $1.56
    Context
    1,000,000
    Model page
  • 3
    DeepSeek V3
    DeepSeek
    Input / 1M
    $0.32
    Output / 1M
    $0.89
    Context
    163,840
    Model page

So werten wir

Weights tuned for json / structured output.

Structured outputs — JSON, XML, YAML — look simple and are not. Models that are strong at prose can still fail to emit valid JSON under pressure. We weight JSON-mode support and schema adherence, then price; for agentic pipelines JSON reliability is often a bigger efficiency lever than raw reasoning.

Our full methodology is published on the Methodik-Seite.

Säulen und Gewichte:

  • JSON mode50%
  • schema adherence30%
  • price20%

Full ranking

Top-Modelle

RangModellAnbieterInput $/1MOutput $/1MKontext
1R1 0528DeepSeek$0.50$2.15163,840
2Qwen3.5 Plus 2026-02-15Qwen$0.26$1.561,000,000
3DeepSeek V3DeepSeek$0.32$0.89163,840
4Qwen3.5 397B A17BQwen$0.39$2.34262,144
5Hunyuan A13B InstructTencent$0.14$0.57131,072
6MiniMax M2.1MiniMax$0.29$0.95196,608
7Trinity Large PreviewArcee AI$0.00$0.00131,000
8GPT-4o (2024-11-20)OpenAI$2.50$10.00128,000
9MiniMax-01MiniMax$0.20$1.101,000,192
10Claude Sonnet 4.5Anthropic$3.00$15.001,000,000

Field notes

Tipps für json / structured output

  • 01

    Always send a schema. Most modern models support a constrained output mode.

  • 02

    Validate server-side. Never trust the model to handle `null` vs. `undefined` correctly.

  • 03

    If you see repeated schema violations, switch to function-calling rather than free-form JSON.

FAQ

Häufige Fragen

The questions teams ask before picking a model for json / structured output.

Get instant answers from our AI agent

As of April 2026, our weighted top 3 are R1 0528, Qwen3.5 Plus 2026-02-15, DeepSeek V3.
Function calling is stricter and preferred for agent tools. JSON mode is fine for single-shot extraction.
Yes — even if your provider supports constrained decoding, an in-prompt schema reduces post-generation errors.