Specifications
Context Window
—
Input Price/1M
$1.60
Output Price/1M
$6.40
Parameters
—
Speed
48 tok/s
Latency (TTFT)
1.1s
Benchmarks
Qwen2.5 Max results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 36.0 | 100.0 | Artificial Analysis official API |
| SciCode | 34.0 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 76.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 83.5 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.3 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 76.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 59.0 | 100.0 | Artificial Analysis official API |
| HLE | 5.0 | 100.0 | — |
Information
- Release date
- January 28, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen2.5 Max
What is Qwen2.5 Max?
Qwen2.5 Max is an AI model developed by Alibaba, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Pricing & Costs in 2026
Qwen2.5 Max is usage-based, priced at $1.6/1M input tokens and $6.4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Qwen2.5 Max was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Qwen2.5 Max specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen2.5 Max competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Qwen2.5 Max?
Qwen2.5 Max is an AI model developed by Alibaba. It is a text model.
How much does Qwen2.5 Max cost?
Qwen2.5 Max costs $1.6/1M input tokens and $6.4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Qwen2.5 Max compare with other models?
In available benchmarks, Qwen2.5 Max scored: LiveCodeBench: 36/100, SciCode: 34/100, MMLU-Pro: 76/100. See the full table above for a detailed comparison.
Is Qwen2.5 Max open source?
No, Qwen2.5 Max is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Qwen2.5 Max best for?
Qwen2.5 Max excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →