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Inkling-Small vs Parse

Comparing Inkling-Small and Parse across benchmarks, pricing, and capabilities.

Thinking Machines Lab · Cohere · Updated for 2026

Which is better?

Inkling-Small and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Inkling-Small also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Inkling-Small

  • you process long inputs — it offers a 256,000 token context window
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
8,192

Individual benchmarks

24 reported for Inkling-Small · 1 for Parse

No common benchmarks found

Inkling-Small and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

273.7B diff

Inkling-Small has 273.7B more parameters than Parse, making it 11900.0% larger.

Thinking Machines Lab
Inkling-Small
276.0Bparameters
Cohere
Parse
2.3Bparameters
276.0B
Inkling-Small
2.3B
Parse

Context Window

Maximum input and output token capacity

Inkling-Small accepts 256,000 input tokens compared to Parse's 8,192 tokens. Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling-Small and Parse support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Inkling-Small

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Parse uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Inkling-Small

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Parse was released on 2026-08-27.

Parse is 1 month newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

1 months ago

Parse

Aug 27, 2026

3 weeks ago

4w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Inkling-Small is available from Thinking Machines Lab, DeepInfra. Parse is available from Azure, Cohere.

Inkling-Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $1.20/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Inkling-Small and Parse side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Inkling-Small vs Parse.

Which is better, Inkling-Small or Parse?

Inkling-Small (Thinking Machines Lab) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Inkling-Small compare to Parse in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Inkling-Small and Parse?

Inkling-Small supports 256K tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling-Small and Parse?

Key differences include context window (256K vs 8K), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Parse?

Inkling-Small is developed by Thinking Machines Lab and Parse is developed by Cohere.