Model Comparison

DeepSeek-V3 0324 vs Kimi K2 Instruct

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek-V3 0324 is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while Kimi K2 Instruct is better at 3 benchmarks (AIME 2024, GPQA, MATH-500).

Kimi K2 Instruct shows notably better performance in the majority of benchmarks.

Mon May 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.8x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.3x more expensive than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Mon May 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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

329.0B diff

Kimi K2 Instruct has 329.0B more parameters than DeepSeek-V3 0324, making it 49.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Moonshot AI
Kimi K2 Instruct
1.0Tparameters
671.0B
DeepSeek-V3 0324
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Mon May 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Kimi K2 Instruct uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 4 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

Kimi K2 Instruct

Jul 11, 2025

10 months ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 0324 is available from Novita. Kimi K2 Instruct is available from Fireworks, Novita.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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

DeepSeek
Less expensive input tokens
Higher MMLU-Pro score (81.2% vs 81.1%)
Moonshot AI
Larger context window (200,000 tokens)
Less expensive output tokens
Higher AIME 2024 score (69.6% vs 59.4%)
Higher GPQA score (75.1% vs 68.4%)
Higher MATH-500 score (97.4% vs 94.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about DeepSeek-V3 0324 vs Kimi K2 Instruct.

Which is better, DeepSeek-V3 0324 or Kimi K2 Instruct?

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek-V3 0324 is made by DeepSeek 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 DeepSeek-V3 0324 compare to Kimi K2 Instruct in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is DeepSeek-V3 0324 cheaper than Kimi K2 Instruct?

DeepSeek-V3 0324 is 1.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.

What are the context window sizes for DeepSeek-V3 0324 and Kimi K2 Instruct?

DeepSeek-V3 0324 supports 164K 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 DeepSeek-V3 0324 and Kimi K2 Instruct?

Key differences include context window (164K vs 200K), input pricing ($0.28 vs $0.50/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Kimi K2 Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Kimi K2 Instruct is developed by Moonshot AI.