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Gemini 4 Argon vs Jamba 1.5 Large

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.9.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 0.9, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Jamba 1.5 Large

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Jamba 1.5 Large
AI21 Labs
Core performance indexes
LLM Stats Score
55.1
#4
0.9
#338
Reasoning
52.4
#7
1.0
#330
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
—
256,000

Individual benchmarks

19 reported for Gemini 4 Argon · 8 for Jamba 1.5 Large

No common benchmarks found

Gemini 4 Argon and Jamba 1.5 Largedon'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

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.

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

Gemini 4 Argon

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Jamba 1.5 Large was released on 2024-08-22.

Gemini 4 Argon is 26 months newer than Jamba 1.5 Large.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.1yr newer
Jamba 1.5 Large

Aug 22, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Gemini 4 Argon's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

Jamba 1.5 Large

Mar 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Jamba 1.5 Large.

Which is better, Gemini 4 Argon or Jamba 1.5 Large?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.9. Gemini 4 Argon is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to Jamba 1.5 Large 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%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for Gemini 4 Argon and Jamba 1.5 Large?

Gemini 4 Argon supports an unknown number of tokens and Jamba 1.5 Large supports 256K 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 Jamba 1.5 Large?

Key differences include LLM Stats Score (55.1 vs 0.9), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Jamba 1.5 Large?

Gemini 4 Argon is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.

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