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Gemini 4 Argon vs Parse

Comparing Gemini 4 Argon and Parse across benchmarks, pricing, and capabilities.

Google · Cohere · Updated for 2026

Which is better?

Gemini 4 Argon and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Gemini 4 Argon also accepts a larger context window (1,048,576 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 Gemini 4 Argon

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Parse

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
8,192

Individual benchmarks

19 reported for Gemini 4 Argon · 1 for Parse

No common benchmarks found

Gemini 4 Argon 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

Context Window

Maximum input and output token capacity

Gemini 4 Argon accepts 1,048,576 input tokens compared to Parse's 8,192 tokens. Only Gemini 4 Argon specifies output context (1,048,576 tokens).

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Parse support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Parse was released on 2026-08-27.

Gemini 4 Argon is 1 month newer than Parse.

Gemini 4 Argon

Sep 30, 2026

3 weeks ago

1mo newer
Parse

Aug 27, 2026

1 months ago

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

Gemini 4 Argon is available from Google. Parse is available from Azure, Cohere.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Parse

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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Parse side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Parse.

Which is better, Gemini 4 Argon or Parse?

Gemini 4 Argon (Google) 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 Gemini 4 Argon compare to Parse in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Gemini 4 Argon and Parse?

Gemini 4 Argon supports 1.0M 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 Gemini 4 Argon and Parse?

Key differences include context window (1.0M vs 8K). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Parse?

Gemini 4 Argon is developed by Google and Parse is developed by Cohere.