Supported Models

Model Inference supports models from Anthropic and OpenAI, all hosted within your data plane. This reference lists available models and links to their official documentation.

Available models

Model ID	Provider	Description
`anthropic.claude-haiku-4.5`	Anthropic	Fast, cost-effective model for simple tasks
`anthropic.claude-sonnet-4.5`	Anthropic	Balanced model for most use cases
`anthropic.claude-sonnet-4.6`	Anthropic	Balanced model with improved reasoning
`anthropic.claude-sonnet-5.0`	Anthropic	Latest Sonnet generation
`anthropic.claude-opus-4.5`	Anthropic	Highly capable model for complex reasoning
`anthropic.claude-opus-4.6`	Anthropic	Highly capable model with the newest Opus generation
`anthropic.claude-opus-4.7`	Anthropic	Latest Opus generation for the most demanding workloads
`anthropic.claude-opus-4.8`	Anthropic	Latest Opus generation for the most demanding workloads
`openai.gpt-4.1`	OpenAI	Advanced reasoning and analysis
`openai.o4-mini`	OpenAI	Fast, efficient model
`openai.gpt-oss-120b`	OpenAI	Open-source large language model

Different Claude generations use different structured-output paths under the hood. Sonnet 5.0 and Opus 4.7 / 4.8 use the forced-tool-use path (schema conformance is enforced by client-side validation and these models do not accept temperature or top_p); all other models use native structured output. See Structured Output for the differences.

Anthropic Claude models

Claude models excel at analysis, summarization, and following detailed instructions.

Claude Haiku 4.5

Model ID: anthropic.claude-haiku-4.5 The fastest Claude model, optimized for high-throughput tasks where speed matters more than deep analysis. Best for:

Simple classification tasks
Data extraction
Quick summaries
High-volume processing

Official documentation: Claude Haiku

Claude Sonnet 4.5

Model ID: anthropic.claude-sonnet-4.5 A balanced model offering strong performance across most tasks with good efficiency. Best for:

Content analysis
Code generation
Multi-step reasoning
General-purpose tasks

Official documentation: Claude Sonnet

Claude Sonnet 4.6

Model ID: anthropic.claude-sonnet-4.6 A Sonnet generation with improved reasoning and instruction following. Best for:

Content analysis
Code generation
Multi-step reasoning
General-purpose tasks

Official documentation: Claude Sonnet

Claude Sonnet 5.0

Model ID: anthropic.claude-sonnet-5.0 The latest Sonnet generation. Uses the forced-tool-use structured-output path — the platform enforces output_format_schema conformance with client-side validation instead of native grammar constraints. This model does not accept temperature or top_p; those sampling parameters are silently dropped from your request. Best for:

Content analysis
Code generation
Multi-step reasoning where the newest Sonnet capabilities are preferred

Official documentation: Claude Sonnet

Claude Opus 4.5

Model ID: anthropic.claude-opus-4.5 A highly capable Claude model for complex tasks requiring deep analysis and nuanced understanding. Best for:

Complex reasoning chains
Nuanced analysis
Research tasks
High-stakes decisions

Official documentation: Claude Opus

Claude Opus 4.6

Model ID: anthropic.claude-opus-4.6 An Opus generation with strong capabilities for demanding inference workloads. Best for:

Complex reasoning chains
Nuanced analysis
Research tasks
High-stakes decisions

Official documentation: Claude Opus

Claude Opus 4.7

Model ID: anthropic.claude-opus-4.7 A newer Opus generation for the most demanding inference workloads. Uses the forced-tool-use structured-output path — the platform enforces output_format_schema conformance with client-side validation. This model does not accept temperature or top_p; those sampling parameters are silently dropped from your request. Best for:

Complex reasoning chains
Nuanced analysis
Research tasks

Official documentation: Claude Opus

Claude Opus 4.8

Model ID: anthropic.claude-opus-4.8 The latest Opus generation, the most capable Claude model available. Uses the forced-tool-use structured-output path with client-side schema validation, and does not accept temperature or top_p. Best for:

Complex reasoning chains where the latest capabilities are preferred
Nuanced analysis
Research tasks
High-stakes decisions

Official documentation: Claude Opus

OpenAI models

OpenAI models offer strong reasoning capabilities and broad knowledge.

GPT-4.1

Model ID: openai.gpt-4.1 Advanced reasoning model with strong analytical capabilities. Best for:

Complex analysis
Technical reasoning
Multi-domain tasks

Official documentation: GPT-4 Models

o4-mini

Model ID: openai.o4-mini Smaller, faster model optimized for efficiency. Best for:

Quick responses
Simple tasks
Cost-sensitive applications

Official documentation: OpenAI Models

GPT-oss-120b

Model ID: openai.gpt-oss-120b Open-source large language model with broad capabilities. Best for:

General-purpose tasks
Open-source requirements

Choosing a model

Consideration	Recommendation
Speed priority	Claude Haiku or o4-mini
Balance of speed/quality	Claude Sonnet
Complex reasoning	Claude Opus or GPT-4.1
Cost sensitivity	Claude Haiku or o4-mini
High accuracy required	Claude Opus

For detailed guidance on model selection, see Choosing the Right Model.

Usage example

import { NarrativeApi } from '@narrative.io/data-collaboration-sdk-ts';

const api = new NarrativeApi({
  apiKey: process.env.NARRATIVE_API_KEY,
});

// Use Claude Sonnet for balanced performance
const job = await api.runModelInference({
  data_plane_id: 'dp_your_data_plane_id',
  model: 'anthropic.claude-sonnet-4.5',
  messages: [
    {
      role: 'user',
      content: [{ type: 'text', text: 'Analyze this dataset...' }]
    }
  ],
  inference_config: {
    output_format_schema: {
      type: 'object',
      properties: {
        analysis: { type: 'string' }
      },
      required: ['analysis']
    }
  }
});

Choosing Models

Detailed model selection guide

Running Inference

Submit inference requests

Model Inference API

Complete API reference

Model Inference Overview

How inference works

Overview

Connectors

Integrations

Workflow Reference

Webhook Reference

Security Reference

Architecture Reference

Error Reference

Model Inference Reference

Rosetta Stone Reference

UI Reference

SDKs

Glossary

Billing

Available models

Anthropic Claude models

Claude Haiku 4.5

Claude Sonnet 4.5

Claude Sonnet 4.6

Claude Sonnet 5.0

Claude Opus 4.5

Claude Opus 4.6

Claude Opus 4.7

Claude Opus 4.8

OpenAI models

GPT-4.1

o4-mini

GPT-oss-120b

Choosing a model

Usage example

Choosing Models

Running Inference

Model Inference API

Model Inference Overview

​Available models

​Anthropic Claude models

​Claude Haiku 4.5

​Claude Sonnet 4.5

​Claude Sonnet 4.6

​Claude Sonnet 5.0

​Claude Opus 4.5

​Claude Opus 4.6

​Claude Opus 4.7

​Claude Opus 4.8

​OpenAI models

​GPT-4.1

​o4-mini

​GPT-oss-120b

​Choosing a model

​Usage example

​Related content

Choosing Models

Running Inference

Model Inference API

Model Inference Overview

Available models

Anthropic Claude models

Claude Haiku 4.5

Claude Sonnet 4.5

Claude Sonnet 4.6

Claude Sonnet 5.0

Claude Opus 4.5

Claude Opus 4.6

Claude Opus 4.7

Claude Opus 4.8

OpenAI models

GPT-4.1

o4-mini

GPT-oss-120b

Choosing a model

Usage example

Related content