Model Comparison

Kimi K2 0905 vs Qwen3 VL 30B A3B Instruct

Kimi K2 0905 significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 3.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2 0905 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) is 3.0x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 3.6x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than Qwen3 VL 30B A3B Instruct.*

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

Lowest available price from all providers

Wed May 13 2026 • llm-stats.com

Kimi K2 0905

Input tokens$0.60

Output tokens$2.50

Best providerNovita

Qwen3 VL 30B A3B Instruct

Input tokens$0.20

Output tokens$0.70

Best providerNovita

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Model Size

Parameter count comparison

969.0B diff

Kimi K2 0905 has 969.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 3125.8% larger.

Kimi K2 0905

1.0Tparameters

Qwen3 VL 30B A3B Instruct

31.0Bparameters

1000.0B

Kimi K2 0905

31.0B

Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to Qwen3 VL 30B A3B Instruct's 131,072 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.

Kimi K2 0905

Input262,144 tokens

Output262,144 tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Kimi K2 0905 does not.

Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 1 month newer than Kimi K2 0905.

Kimi K2 0905

Sep 5, 2025

8 months ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 months ago

2w 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 VL 30B A3B Instruct is available from Novita, DeepInfra.

Kimi K2 0905

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3 VL 30B A3B Instruct

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Kimi K2 0905

View details

Moonshot AI

Larger context window (262,144 tokens)

Higher GPQA score (75.8% vs 70.4%)

Higher MMLU score (90.2% vs 85.0%)

Higher MMLU-Pro score (82.5% vs 77.8%)

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2 0905	Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Kimi K2 0905 vs Qwen3 VL 30B A3B Instruct.

Which is better, Kimi K2 0905 or Qwen3 VL 30B A3B Instruct?

Kimi K2 0905 significantly outperforms across most benchmarks. Kimi K2 0905 is made by Moonshot AI and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 0905 compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is Kimi K2 0905 cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 3.0x cheaper for input tokens. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for Kimi K2 0905 and Qwen3 VL 30B A3B Instruct?

Kimi K2 0905 supports 262K tokens and Qwen3 VL 30B A3B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 0905 and Qwen3 VL 30B A3B Instruct?

Key differences include context window (262K vs 131K), input pricing ($0.60 vs $0.20/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and Qwen3 VL 30B A3B Instruct?

Kimi K2 0905 is developed by Moonshot AI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.