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Jamba 1.5 Large vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Jamba 1.5 Large

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
256,000
Released
Aug 2024
Aug 2026
License
Jamba Open Model License
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

370.2B diff

Jamba 1.5 Large has 370.2B more parameters than Qwen3.8-27B, making it 1332.6% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
398.0B
Jamba 1.5 Large
27.8B
Qwen3.8-27B

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
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Jamba 1.5 Large does not.

Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3.8-27B uses Apache 2.0.

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

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 24 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

2.0 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

2.0yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Jamba 1.5 Large vs Qwen3.8-27B.

Which is better, Jamba 1.5 Large or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Qwen3.8-27B in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Jamba 1.5 Large and Qwen3.8-27B?

Jamba 1.5 Large supports 256K tokens and Qwen3.8-27B 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 Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Qwen3.8-27B?

Jamba 1.5 Large is developed by AI21 Labs and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.