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Thinking Machines: Inkling

thinkingmachines/inkling

Model weights
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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, retrieval-augmented generation, instruction following, and multilingual conversational applications. Its native image and audio understanding supports multimodal analysis alongside text.

Modalities

In / Out Price

$0.95 / $4.05per 1M

Context

1M

Released

Jul 17, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About Thinking Machines: Inkling

OpenRouter makes Thinking Machines: Inkling available through a unified, OpenAI-compatible API using the model ID thinkingmachines/inkling. Requests can be routed across 3 providers, including DeepInfra, Baseten and Together, with automatic failover when an endpoint is unavailable.

Thinking Machines: Inkling accepts text, images and audio and returns text. It has a 1,048,576-token context window and a maximum output of 262,144 tokens.

On OpenRouter, Thinking Machines: Inkling costs $0.95/M input tokens and $4.05/M output tokens, with separate rates for Cache Read at $0.16/M tokens. Effective pricing can be lower when prompt caching applies. It was released on July 17, 2026.

More models from Thinking Machines

  • Inkling Small

Frequently asked questions

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, retrieval-augmented generation, instruction following, and multilingual conversational applications.

Inkling costs $0.95/M input tokens and $4.05/M output tokens, with separate rates for Cache Read at $0.16/M tokens.

Inkling has a 1,048,576 token context window. It supports up to 262,144 completion tokens.

Yes. Inkling accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.

Inkling accepts text, images and audio as input and returns text.

Inkling is served by 3 providers on OpenRouter: DeepInfra, Baseten and Together. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Inkling was released on July 17, 2026.

$0.95$4.05$0.160.44s118 tps
99.44%
$1.00$4.05$0.170.32s197 tps
99.99%
$1.00$4.05$0.170.63s121 tps
98.18%

Throughput

197tok/s

P50, best across providers

Latency

0.32s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
DeepInfra
82.0%--
Baseten
79.8%61.2%
Uptime (3d)

100.00%

Availability (3d)

91.94%

Availability over the last 3 days

Last 72 hours
Availability 91.94%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
89.18%
Without Routing
69.48%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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