Model Comparison

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

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Kimi K2 0905 is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

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

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 0905 costs less

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

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.4x more expensive than Kimi K2 0905 ($2.50/1M 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
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
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

603.0B diff

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

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

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.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Wed Apr 15 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.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Kimi K2 0905

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

5mo newer
Kimi K2 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

Qwen3.5-397B-A17B is available from Novita. Kimi K2 0905 is available from Novita.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

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

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%)
Moonshot AI
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about Qwen3.5-397B-A17B vs Kimi K2 0905

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team 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.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.
Both models cost $0.60 per million input tokens.
Qwen3.5-397B-A17B supports 262K 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 multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Kimi K2 0905 is developed by Moonshot AI.