Model Comparison

DeepSeek-V2.5 vs Kimi K2 0905

Kimi K2 0905 significantly outperforms across most benchmarks. DeepSeek-V2.5 is 6.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while Kimi K2 0905 is better at 3 benchmarks (HumanEval, MATH, MMLU).

Kimi K2 0905 significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 4.3x cheaper than Kimi K2 0905 ($0.60/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 8.9x cheaper than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
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

764.0B diff

Kimi K2 0905 has 764.0B more parameters than DeepSeek-V2.5, making it 323.7% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Moonshot AI
Kimi K2 0905
1.0Tparameters
236.0B
DeepSeek-V2.5
1000.0B
Kimi K2 0905

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Kimi K2 0905 was released on 2025-09-05.

Kimi K2 0905 is 16 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Kimi K2 0905

Sep 5, 2025

8 months ago

1.3yr 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Kimi K2 0905 is available from Novita.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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 HumanEval score (94.5% vs 89.0%)
Higher MATH score (89.1% vs 74.7%)
Higher MMLU score (90.2% vs 80.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Moonshot AI
Kimi K2 0905

FAQ

Common questions about DeepSeek-V2.5 vs Kimi K2 0905.

Which is better, DeepSeek-V2.5 or Kimi K2 0905?

Kimi K2 0905 significantly outperforms across most benchmarks. DeepSeek-V2.5 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.

How does DeepSeek-V2.5 compare to Kimi K2 0905 in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is DeepSeek-V2.5 cheaper than Kimi K2 0905?

DeepSeek-V2.5 is 4.3x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

What are the context window sizes for DeepSeek-V2.5 and Kimi K2 0905?

DeepSeek-V2.5 supports 8K tokens and Kimi K2 0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and Kimi K2 0905?

Key differences include context window (8K vs 262K), input pricing ($0.14 vs $0.60/M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Kimi K2 0905?

DeepSeek-V2.5 is developed by DeepSeek and Kimi K2 0905 is developed by Moonshot AI.