Model Comparison

Jamba 1.5 Mini vs Kimi K2 InstructWhich is better in 2026?

Kimi K2 Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is 2.0x cheaper per token.

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

Jamba 1.5 Mini (by AI21 Labs) and Kimi K2 Instruct (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 is better at 4 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro). Kimi K2 Instruct significantly outperforms across most benchmarks.

On price, Jamba 1.5 Mini is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Jamba 1.5 Mini if…

  • cost matters — it's about 2.0x cheaper per token
  • you process long inputs — it offers a 256,144 token context window

Choose Kimi K2 Instruct if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

Kimi K2 Instruct significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 2.5x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 1.3x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Jamba 1.5 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

948.0B diff

Kimi K2 Instruct 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
1.0Tparameters
52.0B
Jamba 1.5 Mini
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Kimi K2 Instruct is limited to 200,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Kimi K2 Instruct 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

MIT

Open weights

Release Timeline

When each model was launched

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

Kimi K2 Instruct is 11 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.8 years ago

Kimi K2 Instruct

Jul 11, 2025

11 months ago

10mo newer

Knowledge Cutoff

When training data ends

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

Jamba 1.5 Mini

Mar 2024

Kimi K2 Instruct

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Kimi K2 Instruct is available from Fireworks, Novita.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Higher GPQA score (75.1% vs 32.3%)
Higher GSM8k score (97.3% vs 75.8%)
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

FAQ

Common questions about Jamba 1.5 Mini vs Kimi K2 Instruct.

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

Kimi K2 Instruct significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Kimi K2 Instruct 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 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 scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is Jamba 1.5 Mini cheaper than Kimi K2 Instruct?

Jamba 1.5 Mini is 2.5x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.

What are the context window sizes for Jamba 1.5 Mini and Kimi K2 Instruct?

Jamba 1.5 Mini supports 256K tokens and Kimi K2 Instruct supports 200K 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?

Key differences include context window (256K vs 200K), input pricing ($0.20 vs $0.50/M), 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?

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

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