Model Comparison

Kimi K2-Thinking-0905 vs Qwen3 VL 30B A3B Instruct

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Kimi K2-Thinking-0905 outperforms in 5 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, MMLU-Pro, MMLU-Redux), while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (WritingBench).

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

Wed Jun 03 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-Thinking-0905 ($0.47/1M tokens) is 2.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 2.9x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, Kimi K2-Thinking-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 Jun 03 2026 • llm-stats.com

Kimi K2-Thinking-0905

Input tokens$0.47

Output tokens$2.00

Best providerDeepinfra

Qwen3 VL 30B A3B Instruct

Input tokens$0.20

Output tokens$0.70

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

969.0B diff

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

Kimi K2-Thinking-0905

1.0Tparameters

Qwen3 VL 30B A3B Instruct

31.0Bparameters

1000.0B

Kimi K2-Thinking-0905

31.0B

Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

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

Kimi K2-Thinking-0905

Input262,144 tokens

Output262,144 tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Wed Jun 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Kimi K2-Thinking-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-Thinking-0905

Text

Images

Audio

Video

Qwen3 VL 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Kimi K2-Thinking-0905 is licensed under MIT, 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-Thinking-0905

MIT

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2-Thinking-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-Thinking-0905.

Kimi K2-Thinking-0905

Sep 5, 2025

9 months ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

8 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-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.

Kimi K2-Thinking-0905

Deepinfra

Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M

Novita

Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M

Fireworks

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-Thinking-0905

View details

Moonshot AI

Larger context window (262,144 tokens)

Higher AIME 2025 score (100.0% vs 69.3%)

Higher GPQA score (84.5% vs 70.4%)

Higher LiveCodeBench v6 score (83.1% vs 42.6%)

Higher MMLU-Pro score (84.6% vs 77.8%)

Higher MMLU-Redux score (94.4% vs 88.4%)

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher WritingBench score (82.6% vs 73.8%)

Detailed Comparison

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

FAQ

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

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

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Kimi K2-Thinking-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-Thinking-0905 compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. 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-Thinking-0905 cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 2.3x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. 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-Thinking-0905 and Qwen3 VL 30B A3B Instruct?

Kimi K2-Thinking-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-Thinking-0905 and Qwen3 VL 30B A3B Instruct?

Key differences include context window (262K vs 131K), input pricing ($0.47 vs $0.20/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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