Model Comparison

Kimi K2.5 vs Qwen3 Max

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2.5 outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, SWE-Bench Verified), while Qwen3 Max is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.5 costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 1.2x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, Kimi K2.5 ($2.50/1M tokens) is 2.0x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than Kimi K2.5.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

Qwen3 Max has 0.0B more parameters than Kimi K2.5, making it 0.0% larger.

Moonshot AI
Kimi K2.5
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1000.0Bparameters
1000.0B
Kimi K2.5
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to Qwen3 Max's 256,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Qwen3 Max is limited to 131,072 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas Qwen3 Max does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.5

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Qwen3 Max uses a proprietary license.

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

Kimi K2.5

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Qwen3 Max was released on 2025-12-15.

Kimi K2.5 is 1 month newer than Qwen3 Max.

Kimi K2.5

Jan 27, 2026

2 months ago

1mo newer
Qwen3 Max

Dec 15, 2025

3 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

Kimi K2.5 is available from Fireworks. Qwen3 Max is available from Novita.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive output tokens
Has open weights
Higher AIME 2025 score (96.1% vs 81.6%)
Higher GPQA score (87.6% vs 62.0%)
Higher LiveCodeBench v6 score (85.0% vs 69.0%)
Higher SWE-Bench Verified score (76.8% vs 69.6%)
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about Kimi K2.5 vs Qwen3 Max

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.
Qwen3 Max is 1.2x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $2.50/M output via fireworks. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.
Kimi K2.5 supports 262K tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 256K), input pricing ($0.60 vs $0.50/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.