New Models Added: GLM-5.2, Kimi K2.7 Code, and New Provider Fireworks.ai with Nemotron-3-Ultra

Date: 2026-06-18 / (1405-03-28)

Summary

We announce the addition of four new models across three providers, including a new provider, Fireworks.ai. Z.AI's glm-5.2 extends GLM-5.1 with a 1M-token context window, Moonshot.ai's kimi-k2.7-code and kimi-k2.7-code-highspeed deliver SOTA open-source coding, and NVIDIA's nemotron-3-ultra is now available through the new Fireworks.ai provider. All models are available on v1/chat/completions, with partial support on v1/responses.

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Details

Z.AI

GLM-5.2

glm-5.2 is Z.AI's latest flagship model for agentic engineering, extending GLM-5.1 with an expanded 1M-token context window and improved long-horizon reliability. It pairs frontier coding performance with a large context window suited to multi-file codebases and extended agent sessions.

Feature	Details
Model ID	glm-5.2
Context window	1,000,000 tokens
Maximum output	128,000 tokens
Capabilities	Chat, Function Calling, Structured Outputs, Reasoning, Deep Thinking
Input pricing	$1.40 / 1M tokens
Cached input pricing	$0.26 / 1M tokens
Output pricing	$4.40 / 1M tokens
Supported endpoints	v1/chat/completions (full), v1/responses (partial)

Moonshot.ai

Kimi K2.7 Code

kimi-k2.7-code is Moonshot AI's latest open-source model purpose-built for software engineering and agentic coding, with state-of-the-art results on coding and agentic benchmarks. The model is served through the Fireworks.ai API provider.

kimi-k2.7-code-highspeed is a high-speed serving variant optimized for low-latency coding workloads, retaining the same capabilities while prioritizing throughput.

Feature	kimi-k2.7-code	kimi-k2.7-code-highspeed
Context window	262,144 tokens	262,144 tokens
Input pricing	$0.95 / 1M tokens	$1.90 / 1M tokens
Cached input pricing	$0.19 / 1M tokens	$0.38 / 1M tokens
Output pricing	$4.00 / 1M tokens	$8.00 / 1M tokens
Supported endpoints	v1/chat/completions (full), v1/responses (partial)	v1/chat/completions (full), v1/responses (partial)

Fireworks.ai (New Provider)

We introduce Fireworks.ai as a new provider on AvalAI. Fireworks.ai is a fast inference platform for open-source AI models, providing production-ready inference with high throughput and competitive pricing. Our first model hosted through Fireworks.ai is NVIDIA's nemotron-3-ultra.

Nemotron-3-Ultra

nemotron-3-ultra is NVIDIA's flagship large-scale Nemotron model for complex reasoning, agentic workflows, and high-quality text generation, combining strong capabilities with cost-effective inference.

Feature	Details
Model ID	nemotron-3-ultra
Owner	NVIDIA
API Provider	Fireworks.ai
Input pricing	$0.60 / 1M tokens
Cached input pricing	$0.12 / 1M tokens
Output pricing	$2.40 / 1M tokens
Supported endpoints	v1/chat/completions (full), v1/responses (partial)

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Pricing Summary

Model	Provider	Input ($/1M tokens)	Cached Input ($/1M tokens)	Output ($/1M tokens)
glm-5.2	Z.AI	$1.40	$0.26	$4.40
kimi-k2.7-code	Moonshot.ai	$0.95	$0.19	$4.00
kimi-k2.7-code-highspeed	Moonshot.ai	$1.90	$0.38	$8.00
nemotron-3-ultra	Fireworks.ai	$0.60	$0.12	$2.40

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API Request/Response Examples

Example Request

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "glm-5.2",
    "messages": [
      {
        "role": "user",
        "content": "Refactor this large multi-file codebase to introduce a caching layer and explain the migration plan."
      }
    ],
    "max_tokens": 4096
  }'

Example Response

{
  "id": "chatcmpl-glm-5-2-abc123",
  "created": 1781827200,
  "model": "glm-5.2",
  "object": "chat.completion",
  "system_fingerprint": null,
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "message": {
        "content": "Here is the migration plan and refactored caching layer...",
        "role": "assistant",
        "thinking_blocks": [],
        "annotations": []
      }
    }
  ],
  "usage": {
    "completion_tokens": 412,
    "prompt_tokens": 36,
    "total_tokens": 448,
    "completion_tokens_details": null,
    "prompt_tokens_details": {
      "audio_tokens": null,
      "cached_tokens": null,
      "text_tokens": 36,
      "image_tokens": null
    }
  },
  "estimated_cost": {
    "unit": "0.0018632000",
    "irt": 213.52,
    "exchange_rate": 114600
  }
}

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SDK Usage Examples

Bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "kimi-k2.7-code",
    "messages": [
      {
        "role": "user",
        "content": "Implement a REST API in FastAPI with JWT authentication and SQLAlchemy models."
      }
    ],
    "max_tokens": 8192
  }'

Python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

completion = client.chat.completions.create(
    model="kimi-k2.7-code",
    messages=[
        {
            "role": "user",
            "content": "Implement a REST API in FastAPI with JWT authentication and SQLAlchemy models.",
        }
    ],
    max_tokens=8192,
)

print(completion.choices[0].message.content)

JavaScript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const completion = await client.chat.completions.create({
  model: "kimi-k2.7-code",
  messages: [
    {
      role: "user",
      content: "Implement a REST API in FastAPI with JWT authentication and SQLAlchemy models.",
    },
  ],
  max_tokens: 8192,
});

console.log(completion.choices[0].message.content);

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Related Links

• Z.AI Models
• Moonshot.ai Models
• Fireworks.ai Models
• Pricing
• Chat Completions API
• Reasoning Guide