91Fit score
Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks and de…
Model details →Best AI models for structured / JSON outputs
Structured-output mode forces the model to conform to a JSON schema. Eliminates parse errors and makes LLMs usable in deterministic data pipelines.
91Fit score
Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in crea…
Model details →91Fit score
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function callin…
Model details →Top 25 models for JSON schema enforcement
| # | Model | Provider | Context | Input price / 1M | Tier |
|---|---|---|---|---|---|
| 1 | Tongyi DeepResearch 30B A3B | Alibaba | 131K Long context (128K+) | $0.09 | Budget |
| 2 | Arcee AI: Trinity Large Preview (free) | Arcee Ai | 131K Long context (128K+) | $0.00 | Budget |
| 3 | Arcee AI: Trinity Mini | Arcee Ai | 131K Long context (128K+) | $0.04 | Budget |
| 4 | Arcee AI: Trinity Mini (free) | Arcee Ai | 131K Long context (128K+) | $0.00 | Budget |
| 5 | ByteDance Seed: Seed 1.6 Flash | Bytedance Seed | 262K Long context (128K+) | $0.07 | Budget |
| 6 | DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M Ultra context (1M+) | $0.09 | Budget |
| 7 | DeepSeek: DeepSeek V4 Flash 0731 | DeepSeek | 1.3M Ultra context (1M+) | $0.04 | Budget |
| 8 | Dots Studio: Dots3-Note Preview (free) | Dots Studio | 512K Long context (128K+) | $0.00 | Budget |
| 9 | Google: Gemini 2.0 Flash Lite | 1.0M Ultra context (1M+) | $0.07 | Budget | |
| 10 | Google: Gemini 2.5 Flash Lite (batch) | 1.0M Ultra context (1M+) | $0.05 | Budget | |
| 11 | Google: Gemma 3 12B | 131K Long context (128K+) | $0.05 | Budget | |
| 12 | Google: Gemma 3 27B | 262K Long context (128K+) | $0.08 | Budget | |
| 13 | Google: Gemma 4 26B A4B | 262K Long context (128K+) | $0.07 | Budget | |
| 14 | meta-llama/Llama-3.1-8B-Instruct | Meta | 131K Long context (128K+) | $0.05 | Budget |
| 15 | OpenAI: gpt-oss-120b | OpenAI | 131K Long context (128K+) | $0.04 | Budget |
| 16 | OpenAI: gpt-oss-20b | OpenAI | 131K Long context (128K+) | $0.03 | Budget |
| 17 | Qwen: Qwen3 30B A3B Instruct 2507 | Qwen | 262K Long context (128K+) | $0.05 | Budget |
| 18 | Qwen: Qwen3 32B | Qwen | 131K Long context (128K+) | $0.08 | Budget |
| 19 | IBM: Granite 4.1 8B | Ibm Granite | 131K Long context (128K+) | $0.05 | Budget |
| 20 | inclusionAI: Ling-2.6-1T | Inclusionai | 262K Long context (128K+) | $0.07 | Budget |
| 21 | inclusionAI: Ling-2.6-flash | Inclusionai | 262K Long context (128K+) | $0.01 | Budget |
| 22 | LiquidAI: LFM2.5-2.6B (free) | Liquid | 66K Short/standard context | $0.00 | Budget |
| 23 | Mistral: Mistral Nemo | Mistral AI | 131K Long context (128K+) | $0.02 | Budget |
| 24 | Mistral: Mistral Small 3.1 24B (free) | Mistral AI | 128K Long context (128K+) | $0.00 | Budget |
| 25 | Mistral: Mistral Small 3.2 24B | Mistral AI | 131K Long context (128K+) | $0.07 | Budget |
Frequently asked questions
What is structured output?
A mode where the model is constrained to emit JSON conforming to a schema you provide. Eliminates malformed-JSON retries.
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