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Unknown OrganizationReleased on Jul 21, 2026

Inkling: Benchmarks, Pricing & Context Window

Inkling is a language model from Unknown Organization, released in July 2026, with multimodal input, a 524K-token context window, and pricing from $0.950/M input, $0.160/M cached input, $4.05/M output.

Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs.

Input
TextImageAudio
Output
Text

Inkling benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Inkling across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Inkling holds up as conversations get longer.

Quality Tracker

Inkling Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Sep 09 2026
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Inkling pricing

Providers

Inkling starts at $0.950 per million input tokens and $4.05 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.160 per million cached input tokens.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.950$0.160$4.05524.3K/524.3K
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Inkling model size

Inkling has 975 billion parameters. See how it compares to other models in the same parameter range.

Parameters
975BMoE
Frontier (200B+)
975B
1B7B70B405B

Inkling context window

Input and output token limits for Inkling, plus how it ranks on long-context understanding.

InputOutput
524Ktokens
524Ktokens
788 pages of text
524K
8K128K1M

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Inkling latency

Inkling time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Inkling examples

Recent arena outputs from Inkling, picked from the highest-ranked matchups.

Inkling license

Inkling is released under the Apache 2.0 license, which permits commercial use, has 975.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
975.0B

Apache License 2.0 - allows commercial use

Inkling resources

Official sources for Inkling: provider documentation, model weights.

Inkling vs other models

The most-compared alternatives to Inkling are Nova 2 Pro, Gemma 4 26B-A4B, Qwen3.7-Plus. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Inkling

Models ranked just above and below Inkling by LLM Stats score.

 

Nova 2 Pro

Score pending
 

Gemma 4 26B-A4B

Score pending
 

Qwen3.7-Plus

Score pending
 

Kimi K2.5

Score pending
 

Qwen3.6-27B

Score pending
 

Seed 1.8

Score pending

FAQ

Common questions about Inkling.

When was Inkling released?

Inkling was released on July 21, 2026 by thinking-machines. This is the official Inkling release date tracked on LLM Stats.

How much does Inkling cost?

Inkling pricing starts at $0.95 per million input tokens, $0.16 per million cached input tokens, $4.05 per million output tokens via DeepInfra, the lowest price among tracked providers.

How big is Inkling?

Inkling has 975 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Inkling?

Inkling was created by thinking-machines.

What is the license for Inkling?

Inkling is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Inkling multimodal?

Yes, Inkling is multimodal and can accept both text and images as input.

Where can I use Inkling?

Inkling is available through 1 provider including DeepInfra.

What models should I compare Inkling against?

Common Inkling comparisons include Inkling vs Nova 2 Pro, Inkling vs Gemma 4 26B-A4B, Inkling vs Qwen3.7-Plus. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.