Model Comparison

DeepSeek-V3.2-Exp vs Kimi K2-Thinking-0905

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 2.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

DeepSeek-V3.2-Exp outperforms in 1 benchmarks (MMLU-Pro), while Kimi K2-Thinking-0905 is better at 9 benchmarks (AIME 2025, BrowseComp, BrowseComp-zh, GPQA, HMMT 2025, Humanity's Last Exam, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench).

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.7x cheaper than Kimi K2-Thinking-0905 ($0.47/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 4.9x cheaper than Kimi K2-Thinking-0905 ($2.00/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

315.0B diff

Kimi K2-Thinking-0905 has 315.0B more parameters than DeepSeek-V3.2-Exp, making it 46.0% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Moonshot AI
Kimi K2-Thinking-0905
1000.0Bparameters
685.0B
DeepSeek-V3.2-Exp
1000.0B
Kimi K2-Thinking-0905

Context Window

Maximum input and output token capacity

Kimi K2-Thinking-0905 accepts 262,144 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.2-Exp

MIT

Open weights

Kimi K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Kimi K2-Thinking-0905 was released on 2025-09-05.

DeepSeek-V3.2-Exp is 1 month newer than Kimi K2-Thinking-0905.

DeepSeek-V3.2-Exp

Sep 29, 2025

6 months ago

3w newer
Kimi K2-Thinking-0905

Sep 5, 2025

7 months ago

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-V3.2-Exp is available from Novita. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
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
Higher MMLU-Pro score (85.0% vs 84.6%)
Moonshot AI
Larger context window (262,144 tokens)
Higher AIME 2025 score (100.0% vs 89.3%)
Higher BrowseComp score (60.2% vs 40.1%)
Higher BrowseComp-zh score (62.3% vs 47.9%)
Higher GPQA score (84.5% vs 79.9%)
Higher HMMT 2025 score (97.5% vs 83.6%)
Higher Humanity's Last Exam score (51.0% vs 19.8%)
Higher SWE-bench Multilingual score (61.1% vs 57.9%)
Higher SWE-Bench Verified score (71.3% vs 67.8%)
Higher Terminal-Bench score (47.1% vs 37.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Moonshot AI
Kimi K2-Thinking-0905

FAQ

Common questions about DeepSeek-V3.2-Exp vs Kimi K2-Thinking-0905

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Kimi K2-Thinking-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.
DeepSeek-V3.2-Exp is 1.7x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra.
DeepSeek-V3.2-Exp supports 164K tokens and Kimi K2-Thinking-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 ($0.27 vs $0.47/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Exp is developed by DeepSeek and Kimi K2-Thinking-0905 is developed by Moonshot AI.