Qwen3 Max / 채팅
Compared with the September 23, 2025 version, the newly upgraded Qwen-3 Max seamlessly integrates thinking and non-thinking modes, bringing an all-round obvious performance boost. Its thinking mode supports web search, web content extraction and code interpreter. It can conduct in-depth logical reasoning and call external tools to solve intricate problems more precisely
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Qwen 3.7 MaxState-of-the-Art Deep Reasoning & Mathematical Deliberation
Qwen 3.7 Max is engineered for complex problem-solving, advanced mathematical derivations, and multi-step algorithmic verification. Powered by extended Chain-of-Thought deliberation to systematically eliminate cognitive hallucinations.
Key Architectural Highlights of Qwen 3.7 Max
Engineered for high-order logic, formal scientific derivations, and verifiable truth generation.
Extended Chain-of-Thought (CoT) & Self-Correction
Rather than jumping to conclusions, Qwen 3.7 Max builds recursive reasoning chains. It autonomously identifies potential contradictions, backtracks on invalid lemma branches, and double-checks mathematical edge cases before outputting proofs.
Symbolic Mathematics & Multimodal Diagram Analysis
Seamlessly parses complex mathematical formulas, coordinate systems, and engineering schematics. Qwen 3.7 Max bridges abstract symbolic logic with multimodal spatial grounding to solve rigorous STEM problems.
Key Application Domains
Proven cognitive depth across scientific research, high-stakes verification, and algorithmic architecture.
Olympiad Mathematics & Theorem Proving
Solve complex Putnam, IMO, and graduate-level analytical math problems with rigorous step-by-step proofs and algebraic derivations.
Symbolic Logic & Algorithmic Verification
Evaluate algorithmic correctness, formal state machine transitions, and concurrency race conditions with zero hallucination.
Multimodal Scientific & Diagram Reasoning
Deconstruct complex coordinate geometry diagrams, biochemical reaction networks, and circuit schematics with spatial grounding.
Regulatory & High-Stakes Legal Synthesis
Parse multi-jurisdictional compliance statutes, contract covenants, and cross-border tax structures with absolute logical consistency.
Fast, Standards-Compliant Integration
Fully compatible with the OpenAI API protocol. Plug directly into your existing pipelines with zero refactoring.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.7-max",
"messages": [
{
"role": "system",
"content": "You are a research mathematician and formal logic engine. Provide step-by-step proofs."
},
{
"role": "user",
"content": "Prove that every planar graph without 3-cycles and 4-cycles has a vertex of degree at most 2, or derive its chromatic bounds."
}
],
"temperature": 0.1,
"top_p": 0.8,
"max_completion_tokens": 4096,
"stream": true
}'Model Specifications
Confirmed parameters and runtime execution protocols for Qwen 3.7 Max.
가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| 0 - 32K | 1,140/ 1M Tokens | 5,700/ 1M Tokens | $1.140 | $5.700 | $0.228 228/ 1M Tokens | $0.114 114/ 1M Tokens | $1.425 1,425/ 1M Tokens |
| 32K - 128K | 2,280/ 1M Tokens | 11,400/ 1M Tokens | $2.280 | $11.400 | $0.456 456/ 1M Tokens | $0.228 228/ 1M Tokens | $2.850 2,850/ 1M Tokens |
| 128K - 256K | 2,850/ 1M Tokens | 14,250/ 1M Tokens | $2.850 | $14.250 | $0.570 570/ 1M Tokens | $0.285 285/ 1M Tokens | $3.563 3,563/ 1M Tokens |
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Qwen3 Coder Plus
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Powered by Qwen3, this is a powerful Coding Agent that excels in tool calling and environment interaction to achieve autonomous programming. It combines outstanding coding proficiency with versatile general-purpose abilities.
Qwen3.6 Plus
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The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.
Qwen3.5 Flash
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The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
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Frequently Asked Questions
Everything you need to know about integrating and developing with Qwen 3.7 Max.
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