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Jamba 1.5 Large vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.9.

AI21 Labs · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 0.9, ranking #13 overall.

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

Choose Jamba 1.5 Large

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Jamba 1.5 Large
AI21 Labs
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
0.9
#338
52.1
#13
Reasoning
1.0
#330
38.4
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
256,000
—

Individual benchmarks

8 reported for Jamba 1.5 Large · 16 for Muse Wonder Full

No common benchmarks found

Jamba 1.5 Large and Muse Wonder Fulldon'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).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Jamba 1.5 Large does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Muse Wonder Full uses a proprietary license.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 26 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

2.1 years ago

Muse Wonder Full

Oct 12, 2026

0 days ago

2.1yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Muse Wonder Full'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 Muse Wonder Full's cutoff date.

Jamba 1.5 Large

Mar 2024

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Muse Wonder Full side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Jamba 1.5 Large vs Muse Wonder Full.

Which is better, Jamba 1.5 Large or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.9. Jamba 1.5 Large is made by AI21 Labs and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Jamba 1.5 Large compare to Muse Wonder Full in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for Jamba 1.5 Large and Muse Wonder Full?

Jamba 1.5 Large supports 256K tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Large and Muse Wonder Full?

Key differences include LLM Stats Score (0.9 vs 52.1), multimodal support (no vs yes), licensing (Jamba Open Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Muse Wonder Full?

Jamba 1.5 Large is developed by AI21 Labs and Muse Wonder Full is developed by Meta.

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