Model Comparison

Granite 3.3 8B Instruct vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Granite 3.3 8B Instruct and Kimi K2 Instruct cost the same.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Granite 3.3 8B Instruct outperforms in 1 benchmarks (AIME 2024), while Kimi K2 Instruct is better at 5 benchmarks (GSM8k, HumanEval, IFEval, MATH-500, MMLU).

Kimi K2 Instruct significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, Granite 3.3 8B Instruct ($0.50/1M tokens) costs the same as Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) costs the same as Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Granite 3.3 8B Instruct and Kimi K2 Instruct cost the same.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
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

992.0B diff

Kimi K2 Instruct has 992.0B more parameters than Granite 3.3 8B Instruct, making it 12400.0% larger.

IBM
Granite 3.3 8B Instruct
8.0Bparameters
Moonshot AI
Kimi K2 Instruct
1.0Tparameters
8.0B
Granite 3.3 8B Instruct
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas Kimi K2 Instruct does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Granite 3.3 8B Instruct

Text
Images
Audio
Video

Kimi K2 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Granite 3.3 8B Instruct is licensed under Apache 2.0, while Kimi K2 Instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Granite 3.3 8B Instruct was released on 2025-04-16, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 3 months newer than Granite 3.3 8B Instruct.

Granite 3.3 8B Instruct

Apr 16, 2025

1.1 years ago

Kimi K2 Instruct

Jul 11, 2025

10 months ago

2mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while Kimi K2 Instruct's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without Kimi K2 Instruct's cutoff date.

Granite 3.3 8B Instruct

Apr 2024

Kimi K2 Instruct

—

Provider Availability

Granite 3.3 8B Instruct is available from Replicate. Kimi K2 Instruct is available from Fireworks, Novita.

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

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

IBM
Supports multimodal inputs
Higher AIME 2024 score (81.2% vs 69.6%)
Moonshot AI
Larger context window (200,000 tokens)
Higher GSM8k score (97.3% vs 80.9%)
Higher HumanEval score (93.3% vs 89.7%)
Higher IFEval score (89.8% vs 74.8%)
Higher MATH-500 score (97.4% vs 69.0%)
Higher MMLU score (89.5% vs 65.5%)

Detailed Comparison

AI Model Comparison Table
Feature
IBM
Granite 3.3 8B Instruct
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about Granite 3.3 8B Instruct vs Kimi K2 Instruct.

Which is better, Granite 3.3 8B Instruct or Kimi K2 Instruct?

Kimi K2 Instruct significantly outperforms across most benchmarks. Granite 3.3 8B Instruct is made by IBM 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 Granite 3.3 8B Instruct compare to Kimi K2 Instruct in benchmarks?

Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is Granite 3.3 8B Instruct cheaper than Kimi K2 Instruct?

Both models cost $0.50 per million input tokens.

What are the context window sizes for Granite 3.3 8B Instruct and Kimi K2 Instruct?

Granite 3.3 8B Instruct supports 128K 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 Granite 3.3 8B Instruct and Kimi K2 Instruct?

Key differences include context window (128K vs 200K), multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Instruct and Kimi K2 Instruct?

Granite 3.3 8B Instruct is developed by IBM and Kimi K2 Instruct is developed by Moonshot AI.