Model Comparison

Jamba 1.5 Large vs Kimi K2 Base

Kimi K2 Base significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Kimi K2 Base is better at 4 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro).

Kimi K2 Base significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

602.0B diff

Kimi K2 Base 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 Base
1000.0Bparameters
398.0B
Jamba 1.5 Large
1000.0B
Kimi K2 Base

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 Base
Input- tokens
Output- tokens
Mon Apr 20 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Kimi K2 Base 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 Base

MIT

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 11 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Kimi K2 Base

Jul 11, 2025

9 months ago

10mo newer

Knowledge Cutoff

When training data ends

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

Jamba 1.5 Large

Mar 2024

Kimi K2 Base

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Moonshot AI
Higher GPQA score (48.1% vs 36.9%)
Higher GSM8k score (92.1% vs 87.0%)
Higher MMLU score (87.8% vs 81.2%)
Higher MMLU-Pro score (69.2% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Jamba 1.5 Large vs Kimi K2 Base

Kimi K2 Base significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Kimi K2 Base is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.
Jamba 1.5 Large supports 256K tokens and Kimi K2 Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Jamba Open Model License vs MIT). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and Kimi K2 Base is developed by Moonshot AI.