Model Comparison

DeepSeek-V3 0324 vs Kimi K2 0905

Kimi K2 0905 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (AIME 2024, GPQA, MMLU-Pro).

Kimi K2 0905 significantly outperforms across most benchmarks.

Tue Apr 21 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 2.1x cheaper than Kimi K2 0905 ($0.60/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.2x cheaper than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

329.0B diff

Kimi K2 0905 has 329.0B more parameters than DeepSeek-V3 0324, making it 49.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Moonshot AI
Kimi K2 0905
1000.0Bparameters
671.0B
DeepSeek-V3 0324
1000.0B
Kimi K2 0905

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Kimi K2 0905 can generate longer responses up to 262,144 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 0905
Input262,144 tokens
Output262,144 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Kimi K2 0905 uses a proprietary license.

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 0905

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Kimi K2 0905 was released on 2025-09-05.

Kimi K2 0905 is 5 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

Kimi K2 0905

Sep 5, 2025

7 months ago

5mo 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 0905 is available from Novita.

DeepSeek-V3 0324

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

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Moonshot AI
Larger context window (262,144 tokens)
Higher AIME 2024 score (72.0% vs 59.4%)
Higher GPQA score (75.8% vs 68.4%)
Higher MMLU-Pro score (82.5% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Moonshot AI
Kimi K2 0905

FAQ

Common questions about DeepSeek-V3 0324 vs Kimi K2 0905

Kimi K2 0905 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Kimi K2 0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.
DeepSeek-V3 0324 is 2.1x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.
DeepSeek-V3 0324 supports 164K tokens and Kimi K2 0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 262K), input pricing ($0.28 vs $0.60/M), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and Kimi K2 0905 is developed by Moonshot AI.