Model Comparison

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

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

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

Jamba 1.5 Mini (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 Mini 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 Mini if…

  • you want predictable pricing at $0.20/M input and $0.40/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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Mini 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.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

948.0B diff

Kimi K2-Instruct-0905 has 948.0B more parameters than Jamba 1.5 Mini, making it 1823.1% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
52.0B
Jamba 1.5 Mini
1000.0B
Kimi K2-Instruct-0905

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini 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 Mini

Jamba Open Model License

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini 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 Mini.

Jamba 1.5 Mini

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 Mini 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 Mini'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 Mini

Mar 2024

Kimi K2-Instruct-0905

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Moonshot AI
Higher GPQA score (75.1% vs 32.3%)
Higher MMLU score (89.5% vs 69.7%)
Higher MMLU-Pro score (81.1% vs 42.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Moonshot AI
Kimi K2-Instruct-0905

FAQ

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

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

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. Jamba 1.5 Mini 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 Mini compare to Kimi K2-Instruct-0905 in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. 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 Mini and Kimi K2-Instruct-0905?

Jamba 1.5 Mini 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 Mini 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 Mini and Kimi K2-Instruct-0905?

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

Related comparisons