THE MODEL, IN DETAIL / thinky

inkling

thinkingmachines/inklingOpen weightsReasoning

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

OpenRouter
Source-linked model intelligenceCatalog added 17 Jul 2026Specifications observed 17 Oct 2026

Text models

#74

Arena rating

Context window

524.3K

471.9K max output tokens

Input price

$1

USD / million input tokens

Output price

$4.05

USD / million output tokens

Inference providers

2

2 provider routes observed

Measured output speed

—

No model-level measurement

01 / PERFORMANCE

A clearer view of capability.

Read the score, understand the context, and explore where this model sits among its peers.

In good company

Text models · Arena · official dataset

1,532.3
Google
1,515.8
Anthropic
1,511.6
Anthropic
1,507.6
Anthropic
1,502.5
Anthropic
1,501.7
Anthropic
1,501
Meta
1,498.9
Google
1,497.5
Anthropic
1,491.2
Anthropic

416 models in the source cohort. Showing selected nearby models. Evaluation settings can differ.

Evidence, by task.

Coverage is not a capability score.

0published results
0 evaluation sources
ReasoningAwaiting evidence
CodingAwaiting evidence
MathematicsAwaiting evidence
VisionAwaiting evidence
AgenticAwaiting evidence
Long contextAwaiting evidence

Documented features, task evaluations, and preference rankings describe different things. Missing coverage does not imply a model cannot perform a task.

Explore our methodology

02 / BENCHMARK EXPLORER

The numbers behind the model.

Original results, exact versions, and a direct path to the evidence behind every score.

0 published results

Percentage-based evaluations will appear here when published.

0 percentage-based evaluations. Each benchmark measures a different task; compare results within the same evaluation and protocol.

Artificial Analysis indices

Published in the OpenRouter catalog · source-defined index values

Coding Index52.1
Agentic Index22.5
Intelligence Index25

Catalog observation: 17 Oct 2026. Index versions and evaluation settings are not supplied in this feed. These are not Singularity composite scores.

Artificial Analysis

Design Arena

Source-reported Elo across individual design categories

Webapps1,187
agents arena · Rank #22 · 48.6% win rate
3d1,162
models arena · Rank #63 · 40% win rate
Asciiart1,094
models arena · Rank #62 · 33.9% win rate
Codecategories1,207
models arena · Rank #57 · 42.2% win rate
Dataviz1,162
models arena · Rank #75 · 37.8% win rate
Gamedev1,169
models arena · Rank #67 · 38.1% win rate
Svg1,113
models arena · Rank #57 · 35% win rate
Uicomponent1,199
models arena · Rank #57 · 40.2% win rate
Website1,225
models arena · Rank #53 · 44.5% win rate

Catalog observation: 17 Oct 2026. Category ratings have separate comparison pools.

03 / COST & VALUE

Know what your workload costs.

Explore token prices, see where the spend goes, and model a workload of your own.

Input$1per million tokens
Output$4.05per million tokens
Cache read$0.17per million tokens
Cache write—per million tokens

Workload cost calculator

Change the numbers. See the trade-offs.

Token estimate only. Excludes cache writes, tools, and other provider fees. Actual token usage and provider limits vary.

Your estimated spend

1,000 requests · 11M tokens

$14.05estimated total
Uncached input$10
Cached input$0
Output$4.05
Per request$0.0141
Without cache discount$14.05
Estimated cache savings$0

04 / INFERENCE NETWORK

One model. Different ways to run it.

Compare inference routes by price, context, quantization, and reported availability.

2 providers · 2 routes
Provider routes for inkling, observed 17 Oct 2026
Provider / routeInput / MOutput / MCache / MContextOutput limitSpeedLatencyAvailability · 1dRates
DDeepInfraFP8$0.95$4.05$0.16524.3K262.1K——99.59%
TTogetherQuantization not disclosed$1$4.05$0.17524.3K471.9K——92.11%

Snapshot observed 17 Oct 2026. Speed and latency are the reported 30-minute median when available. This is a dated snapshot, not live monitoring.

Provider price comparison

USD per million tokens · input and output rates

InputOutput
DeepInfrafp8
Input
$0.95
Output
$4.05
Together
Input
$1
Output
$4.05

Reported availability

Provider availability over the selected observation window

DeepInfra · FP899.59%
Together92.11%

Output speed

Reported 30-minute p50 · tokens per second

No provider throughput measurements were returned in this snapshot.

Response latency

Reported 30-minute p50 · seconds

No provider latency measurements were returned in this snapshot.

Context by provider

Actual route limits can differ from the catalog maximum

DeepInfra · FP8524.3K
Together524.3K

05 / CAPABILITIES & MODALITIES

What goes in. What comes out.

A map of documented interfaces and API features, separate from benchmark performance.

INPUT MODALITIES

TextImageAudio
inklingReasoning supported

OUTPUT MODALITIES

Text

Feature support

Listed catalog API parameters and documented pricing features

ReasoningSupported
Tool callingSupported
Tool choiceSupported
Structured outputsNot listed
Response formatNot listed
Reasoning detailsSupported
Seed controlSupported
Stop sequencesSupported
Prompt cachingSupported
TemperatureSupported

Room to work

Context capacity and completion limits

524.3Ktotal context tokens
Context window
471.9Kmax output

Output tokens share the total context budget. The maximum completion length is a separate limit, and individual provider routes may have smaller limits.

Catalog context
524,288 tokens
Maximum output
471,859 tokens
Top-provider context
524,288 tokens

Features vary by route

Check the provider before depending on a specific API feature.

API feature support by provider
Provider routeReasoningToolsStructured outputResponse formatImplicit caching
DeepInfra · FP8SupportedSupportedNot listedNot listedSupported
TogetherSupportedSupportedNot listedNot listedSupported

06 / UNDER THE HOOD

The complete specification sheet.

Exact identities, model architecture, limits, and the defaults that shape a request.

Identity & architecture

Developer
thinky
Exact identity
inkling
Subject
Model Configuration
Access
Open weights
License
Apache 2.0
Parameters
Not disclosed
Tokenizer
Other
Instruction format
Not disclosed

Reasoning & controls

Reasoning
Supported
Mandatory reasoning
No
Reasoning by default
Enabled
Published configuration
Not disclosed
Supported reasoning efforts
max, high, medium, low, minimal, none
Default reasoning effort
high
API parameters
16
Provider moderation
No
Quantization variants
fp8

Dates & limits

Catalog added
17 Jul 2026
Knowledge cutoff
Not disclosed
Catalog expiration
Not documented
Specifications observed
17 Oct 2026
Providers observed
17 Oct 2026
Request limits
Provider-specific / not supplied
Canonical catalog ID
thinkingmachines/inkling-20260715

API parameters & defaults

Availability is catalog-wide. Defaults can vary across providers.

frequency_penaltySupported · default not supplied
include_reasoningSupported · default not supplied
logit_biasSupported · default not supplied
max_tokensSupported · default not supplied
min_pSupported · default not supplied
presence_penaltySupported · default not supplied
reasoningSupported · default not supplied
reasoning_effortSupported · default not supplied
repetition_penaltySupported · default not supplied
seedSupported · default not supplied
stopSupported · default not supplied
temperatureSupported · default not supplied
tool_choiceSupported · default not supplied
toolsSupported · default not supplied
top_kSupported · default not supplied
top_pSupported · default not supplied

07 / BUILD WITH THIS MODEL

From exploration to your first request.

Use the documented catalog identifier and keep your API key in an environment variable.

Make an API request

const response = await fetch(
  "https://openrouter.ai/api/v1/chat/completions",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      "model": "thinkingmachines/inkling",
      "messages": [
        {
          "role": "user",
          "content": "Explain the trade-offs in this design."
        }
      ]
    }),
  },
);
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
console.log(data.choices[0].message.content);

08 / PROVENANCE & HISTORY

Every number has a story.

Follow the source, check the observation date, and distinguish published results from model specifications.

The observation trail

Recorded events, in chronological order

Added to the model catalog

Catalog creation date, as recorded by OpenRouter.

Model specifications observed

Catalog pricing, limits, and supported parameters captured.

Provider routes observed

2 inference routes in this snapshot.

Observation dates describe when data was captured. They do not represent newly run evaluations or continuous performance monitoring.

Published observation ledger

Historical evidence, with source and version preserved.

No published benchmark observations for this selection. Published preference rankings appear separately above.

09 / A FEW MORE DETAILS

Questions worth asking.

Quick answers, drawn from this model’s connected specifications.

How much does inkling cost?

Catalog starting rates are $1 per million input tokens and $4.05 per million output tokens. Cache-read pricing is $0.17 per million tokens. Compare provider routes and service tiers above for their specific prices.

How much context can it handle?

524,288 tokens in the catalog context window. The catalog lists a maximum of 471,859 completion tokens. Provider limits can differ.

Does it support tools and structured output?

Tool calling: listed as supported. Structured outputs: not listed. See the provider feature matrix for route-specific differences.

How should I interpret these benchmark results?

Read the benchmark name, exact version, metric, source, and model configuration together. Different evaluation settings can change the result. Preference ratings and source-defined composite indices remain separate from task accuracy.

Are these prices and provider measurements live?

This page uses dated source snapshots. Catalog data was observed on 17 Oct 2026. Provider routes were observed on 17 Oct 2026. Missing measurements are not estimated or treated as zero.

KEEP EXPLORING

More from thinky.

Explore related identities from the same developer, or take them into a side-by-side comparison.

THE RIGHT MODEL STARTS WITH THE RIGHT CONTEXT.

Put the details side by side.

Explore the trade-offs in a direct model comparison.

Compare inkling
inkling — Singularity Logs