Introducing Kimi K3.1 Pro through Fireworks on Microsoft Foundry

Microsoft

Nov 10, 2026

Kimi K3.1 Pro is now available on Fireworks on Foundry, bringing Moonshot AI's latest K3.1-series model to developers building on Azure.

This open-weight, multimodal model features 2.8 trillion total parameters and a 1-million-token context window. Built on Kimi K3, it delivers developer-reported improvements in coding, financial research, and agentic capabilities.

Fireworks provides the optimized inference infrastructure, while Microsoft Foundry handles enterprise deployment and governance.

Key capabilities and use cases

With a 1-million-token context window and multimodal, coding, and agentic capabilities, Kimi K3.1 Pro is suitable for:

Software development: Generate and debug code or power tool-using coding agents.
Research and document analysis: Summarize long materials and analyze information across documents.
Multimodal workflows: Understand text and images or support 3D design from briefs and reference images.

Reported performance

Benchmark	What it evaluates	Reported score
Terminal-Bench 4.0	Coding agents performing realistic terminal tasks	65.7%
OfficeQA Pro v2	Complex financial analysis across real documents	64.4
BenchCAD with tools	3D reconstruction through CAD code generation	92.7%

Benchmark scores measure different tasks and aren't directly comparable. See the Kimi K3.1 Pro announcement for evaluation details.

Pricing and Deployment

Model name	Deployment type	Uncached input / 1M tokens	Cached input / 1M tokens	Output / 1M tokens
FW-Kimi-K3.1-Pro	Global Standard	$2.05	$0.20	$10.35

Prices are in USD per 1 million tokens, subject to applicable availability, quota, and pricing terms.

Quick Start

After you enable Fireworks on your Azure subscription and deploy the model, you can use:

Chat Completions API through the OpenAI/v1 endpoint.
Foundry Responses API, with session management handled by Foundry.
Fireworks Responses API (RAPI) direct passthrough, with session management handled by Fireworks and support for Fireworks RAPI parameters.

The following example uses the Fireworks RAPI direct passthrough with the OpenAI Python client:

from openai import OpenAI

client = OpenAI(
    base_url="https://YOUR_RESOURCE.services.ai.azure.com/providers/fireworks/v1",
    api_key="YOUR_FOUNDRY_KEY",
)

response = client.responses.create(
    model="FW-Kimi-K3.1-Pro",
    input="Review this Python function for correctness and suggest improvements.",
    store=False,
)

print(response.output_text)