Model Comparison

Kimi K2.5 vs Qwen3.7 Max

Qwen3.7 Max significantly outperforms across most benchmarks. Kimi K2.5 is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Kimi K2.5 outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.7 Max is better at 9 benchmarks (GPQA, IMO-AnswerBench, LiveCodeBench v6, MMLU-Pro, SciCode, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).

Qwen3.7 Max significantly outperforms across most benchmarks.

Tue May 26 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 2.1x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, Kimi K2.5 ($3.00/1M tokens) is 1.3x cheaper than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Qwen3.7 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 May 26 2026 • llm-stats.com

Kimi K2.5

Input tokens$0.60

Output tokens$3.00

Best providerFireworks

Qwen3.7 Max

Input tokens$1.25

Output tokens$3.75

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to Kimi K2.5's 262,100 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Kimi K2.5

Input262,100 tokens

Output262,100 tokens

Qwen3.7 Max

Input1,000,000 tokens

Output65,536 tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas Qwen3.7 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

Qwen3.7 Max

Text

Images

Audio

Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Qwen3.7 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

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Qwen3.7 Max was released on 2026-05-19.

Qwen3.7 Max is 4 months newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

3 months ago

Qwen3.7 Max

May 19, 2026

1 weeks ago

3mo 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 K2.5 is available from Fireworks, Moonshot AI. Qwen3.7 Max is available from Novita, Together.

Kimi K2.5

Fireworks

Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

Unknown Organization

Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

Qwen3.7 Max

Novita

Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M

Together

Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Kimi K2.5

View details

Moonshot AI

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher Humanity's Last Exam score (50.2% vs 41.4%)

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)

Higher GPQA score (92.4% vs 87.6%)

Higher IMO-AnswerBench score (90.0% vs 81.8%)

Higher LiveCodeBench v6 score (91.6% vs 85.0%)

Higher MMLU-Pro score (89.6% vs 87.1%)

Higher SciCode score (53.5% vs 48.7%)

Higher SWE-bench Multilingual score (78.3% vs 73.0%)

Higher SWE-Bench Pro score (60.6% vs 50.7%)

Higher SWE-Bench Verified score (80.4% vs 76.8%)

Higher Terminal-Bench 2.0 score (69.7% vs 50.8%)

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2.5	Qwen3.7 Max

FAQ

Common questions about Kimi K2.5 vs Qwen3.7 Max.

Which is better, Kimi K2.5 or Qwen3.7 Max?

Qwen3.7 Max significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and Qwen3.7 Max 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 K2.5 compare to Qwen3.7 Max in benchmarks?

Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is Kimi K2.5 cheaper than Qwen3.7 Max?

Kimi K2.5 is 2.1x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $3.00/M output via fireworks. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for Kimi K2.5 and Qwen3.7 Max?

Kimi K2.5 supports 262K tokens and Qwen3.7 Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2.5 and Qwen3.7 Max?

Key differences include context window (262K vs 1.0M), input pricing ($0.60 vs $1.25/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.5 and Qwen3.7 Max?

Kimi K2.5 is developed by Moonshot AI and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.