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Jamba 1.5 Large vs Kimi K2.8 Preview

Comparing Jamba 1.5 Large and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

AI21 Labs · Moonshot AI · Updated for 2026

Which is better?

Jamba 1.5 Large and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview 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 Jamba 1.5 Large

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

Choose Kimi K2.8 Preview

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
256,000
1,048,576

Individual benchmarks

8 reported for Jamba 1.5 Large · 0 for Kimi K2.8 Preview

No common benchmarks found

Jamba 1.5 Large and Kimi K2.8 Previewdon'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

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to Jamba 1.5 Large's 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
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.8 Preview supports multimodal inputs, whereas Jamba 1.5 Large does not.

Kimi K2.8 Preview 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

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Kimi K2.8 Preview 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

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 25 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

2.1 years ago

Kimi K2.8 Preview

Sep 11, 2026

3 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 Kimi K2.8 Preview'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 Kimi K2.8 Preview's cutoff date.

Jamba 1.5 Large

Mar 2024

Kimi K2.8 Preview

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Kimi K2.8 Preview is available from Moonshot AI.

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Kimi K2.8 Preview

moonshot logo
Unknown Organization
* 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 Jamba 1.5 Large and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about Jamba 1.5 Large vs Kimi K2.8 Preview.

Which is better, Jamba 1.5 Large or Kimi K2.8 Preview?

Jamba 1.5 Large (AI21 Labs) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Jamba 1.5 Large compare to Kimi K2.8 Preview in benchmarks?

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 Jamba 1.5 Large and Kimi K2.8 Preview?

Jamba 1.5 Large supports 256K tokens and Kimi K2.8 Preview supports 1.0M 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 Kimi K2.8 Preview?

Key differences include context window (256K vs 1.0M), 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 Kimi K2.8 Preview?

Jamba 1.5 Large is developed by AI21 Labs and Kimi K2.8 Preview is developed by Moonshot AI.