Ornith 1.5 35B

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ornith-1.5:35b

ornith-1.535bFP8ImageToolsReasoning

Ornith 1.5 35B, a 35B mixture-of-experts model trained for agentic coding and tool use. Supports image input, tool calling, JSON output, streaming and a reasoning on/off switch, with a 262K-token context window.

When to choose Ornith 1.5 35B

Ornith 1.5 35B is an open-weight mixture-of-experts model trained for agentic coding and tool use. Only a small part of its parameters is active for each token, so it stays fast while handling multi-step work. It reads text and images.

It is a strong fit for:

Coding agents — editor assistants and command-line agents that read files, propose changes and call tools in a loop.
Tool-heavy workflows — tasks where the model plans, calls functions and reacts to the results.
Screenshots and diagrams — UI captures, error dialogs and architecture sketches next to the code.
Structured output — JSON, configuration and code that another program consumes.

Reasoning on or off

Reasoning is off by default for quick replies. Turn it on when the task needs planning or careful debugging; reasoning tokens are billed as output tokens. See Reasoning controls.

How it compares

Qwen3.8 27B is the dense all-rounder with graded reasoning effort. For very long inputs, GLM 5.3 Flash also reads images and has a much larger context window. For simple, high-volume text tasks, Nemotron 3.5 Lightning 30B is the budget choice.

Pricing

Input (per 1M tokens)US$0.14 / M Tokens

Output (per 1M tokens)US$0.65 / M Tokens

Cache read (per 1M tokens)US$0.025 / M Tokens

You pay only for the tokens you use. How billing works.

Specifications

Context window256K tokens

Max output256K tokens

InputText, Image

OutputText

ReasoningOff, On (default Off)

Performance

Latency 0.3 s

Throughput 374 tok/s · measured Oct 11, 2026

Latency and throughput: median of the last 10 test requests from our server.

Uptime 98.2 % · last 3 days

Share of our automatic test requests in the last 3 UTC days (today so far and the two days before) that got a complete answer. We send them about every 30 minutes from our server to the suppliers your requests use by default; supplier timeouts and rate limits count as failures. A short outage between two checks can be missed.

Quick start

Call Ornith 1.5 35B through the OpenAI-compatible API at https://a.tokener.ca/v1, or the Anthropic-compatible (Messages) API at https://a.tokener.ca (no /v1), with the model id ornith-1.5:35b.

curl https://a.tokener.ca/v1/chat/completions \  -H "Authorization: Bearer $TOKENER_API_KEY" \  -H "Content-Type: application/json" \  -d '{    "model": "ornith-1.5:35b",    "messages": [{"role": "user", "content": "Hello!"}],    "stream": true  }'

import osfrom openai import OpenAI client = OpenAI(    base_url="https://a.tokener.ca/v1",    api_key=os.environ["TOKENER_API_KEY"],) stream = client.chat.completions.create(    model="ornith-1.5:35b",    messages=[{"role": "user", "content": "Hello!"}],    stream=True,)for chunk in stream:    print(chunk.choices[0].delta.content or "", end="")

import OpenAI from "openai"; const client = new OpenAI({  baseURL: "https://a.tokener.ca/v1",  apiKey: process.env.TOKENER_API_KEY,}); const stream = await client.chat.completions.create({  model: "ornith-1.5:35b",  messages: [{ role: "user", content: "Hello!" }],  stream: true,});for await (const chunk of stream) {  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");}

import { createOpenAICompatible } from "@ai-sdk/openai-compatible";import { streamText } from "ai"; const tokener = createOpenAICompatible({  name: "tokener",  baseURL: "https://a.tokener.ca/v1",  apiKey: process.env.TOKENER_API_KEY,}); const result = streamText({  model: tokener.chatModel("ornith-1.5:35b"),  messages: [{ role: "user", content: "Hello!" }],}); for await (const text of result.textStream) {  process.stdout.write(text);}

import osfrom anthropic import Anthropic client = Anthropic(    base_url="https://a.tokener.ca",    api_key=os.environ["TOKENER_API_KEY"],) with client.messages.stream(    model="ornith-1.5:35b",    max_tokens=4096,    messages=[{"role": "user", "content": [{"type": "text", "text": "Hello!"}]}],) as stream:    for text in stream.text_stream:        print(text, end="")

# Point Claude Code at Tokener, then start it in your project directory.export ANTHROPIC_BASE_URL=https://a.tokener.ca            # no /v1 — the tool appends itexport ANTHROPIC_AUTH_TOKEN=$TOKENER_API_KEY              # your Tokener API keyexport ANTHROPIC_MODEL=ornith-1.5:35b                         # the main modelexport ANTHROPIC_DEFAULT_HAIKU_MODEL=ornith-1.5:35b           # background calls — a cheaper model from /models also worksexport ANTHROPIC_SMALL_FAST_MODEL=ornith-1.5:35bunset ANTHROPIC_API_KEYclaude

Other protocols

The same model, key and price are available on the OpenAI Responses and Anthropic-compatible (Messages) protocols. For the Anthropic SDKs, use the base URL https://a.tokener.ca (without /v1).

OpenAI Responses — guide

curl https://a.tokener.ca/v1/responses \
  -H "Authorization: Bearer $TOKENER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ornith-1.5:35b",
    "input": [{"role": "user", "content": [{"type": "input_text", "text": "Hello!"}]}],
    "stream": false
  }'

Anthropic-compatible (Messages) — guide

curl https://a.tokener.ca/v1/messages \
  -H "x-api-key: $TOKENER_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ornith-1.5:35b",
    "max_tokens": 4096,
    "messages": [{"role": "user", "content": [{"type": "text", "text": "Hello!"}]}],
    "stream": false
  }'

Questions

How much does Ornith 1.5 35B cost?

Ornith 1.5 35B costs US$0.14 per 1M input tokens and US$0.65 per 1M output tokens. Cached input tokens are US$0.025 per 1M. You pay only for the tokens you use.

What is the context window of Ornith 1.5 35B?

Ornith 1.5 35B has a context window of 262,144 tokens. It can return up to 262,144 output tokens.

Does Ornith 1.5 35B accept Image input?

Yes — Ornith 1.5 35B accepts Image input in addition to text.

Can I control reasoning on Ornith 1.5 35B?

Yes — Ornith 1.5 35B supports these reasoning settings: Off, On. The default is Off. You choose it per request.

Is Ornith 1.5 35B OpenAI-compatible?

Yes — call Ornith 1.5 35B through Tokener's OpenAI-compatible API at https://a.tokener.ca/v1 with the model id ornith-1.5:35b. Both OpenAI protocols work: Chat Completions at https://a.tokener.ca/v1/chat/completions and OpenAI Responses at https://a.tokener.ca/v1/responses. Any OpenAI-compatible client or SDK works.

Can I use Ornith 1.5 35B with the Anthropic SDK?

Yes — Ornith 1.5 35B is available on the Anthropic-compatible Messages API at https://a.tokener.ca/v1/messages. Point the Anthropic SDK at the base URL https://a.tokener.ca (without /v1 — the SDK appends it) and use the model id ornith-1.5:35b. Which features work varies by model; see the Anthropic SDK guide at /docs/anthropic-sdk.

How do I try Ornith 1.5 35B?

Create an API key, add credits, and call the endpoint with the model id ornith-1.5:35b — or try Ornith 1.5 35B in the Tokener Playground.

Try in Playground Get an API key Integration docs All models