Model Comparison

Jamba 1.5 Large vs Kimi K2-Instruct-0905Which is better in 2026?

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Verdict: Jamba 1.5 Large vs Kimi K2-Instruct-0905 — which is better?

Jamba 1.5 Large (by AI21 Labs) and Kimi K2-Instruct-0905 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Jamba 1.5 Large outperforms in 0 benchmarks, while Kimi K2-Instruct-0905 is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Choose Jamba 1.5 Large if…

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

Choose Kimi K2-Instruct-0905 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Kimi K2-Instruct-0905 is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

602.0B diff

Kimi K2-Instruct-0905 has 602.0B more parameters than Jamba 1.5 Large, making it 151.3% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
398.0B
Jamba 1.5 Large
1000.0B
Kimi K2-Instruct-0905

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
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Kimi K2-Instruct-0905 uses MIT.

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-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 13 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

9 months ago

1.0yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Kimi K2-Instruct-0905'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-Instruct-0905's cutoff date.

Jamba 1.5 Large

Mar 2024

Kimi K2-Instruct-0905

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Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Moonshot AI
Higher GPQA score (75.1% vs 36.9%)
Higher MMLU score (89.5% vs 81.2%)
Higher MMLU-Pro score (81.1% vs 53.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
Kimi K2-Instruct-0905
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Jamba 1.5 Large vs Kimi K2-Instruct-0905.

Which is better, Jamba 1.5 Large or Kimi K2-Instruct-0905?

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Kimi K2-Instruct-0905 in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Jamba 1.5 Large and Kimi K2-Instruct-0905?

Jamba 1.5 Large supports 256K tokens and Kimi K2-Instruct-0905 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 Kimi K2-Instruct-0905?

Key differences include licensing (Jamba Open Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Kimi K2-Instruct-0905?

Jamba 1.5 Large is developed by AI21 Labs and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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