Kimi K2 0905 vs Qwen3.5-397B-A17B Comparison

Comparing Kimi K2 0905 and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2 0905 outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 0905 costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) costs the same as Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 1.4x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Kimi K2 0905.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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Model Size

Parameter count comparison

603.0B diff

Kimi K2 0905 has 603.0B more parameters than Qwen3.5-397B-A17B, making it 151.9% larger.

Moonshot AI
Kimi K2 0905
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
1000.0B
Kimi K2 0905
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Kimi K2 0905 does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 0905

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Qwen3.5-397B-A17B uses Apache 2.0.

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

Kimi K2 0905

Proprietary

Closed source

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 5 months newer than Kimi K2 0905.

Kimi K2 0905

Sep 5, 2025

6 months ago

Qwen3.5-397B-A17B

Feb 16, 2026

3 weeks 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

Kimi K2 0905 is available from Novita. Qwen3.5-397B-A17B is available from Novita. The availability of providers can affect quality of the model and reliability.

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher GPQA score (88.4% vs 75.8%)
Higher MMLU-Pro score (87.8% vs 82.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B