| Signal | Qwen3 Max | Delta | Qwen3 Max Thinking |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 69 | -- | |
Pricing | 96 | -- | |
Context window size | 86 | -- | |
Recency | 91 | -9 | |
Output Capacity | 75 | -- | |
| Overall Result | 0 wins | of 6 | 2 wins |
Score History
67.4
current score
Qwen3 Max Thinking
right now
68.2
current score
Alibaba
Alibaba
| Metric | Qwen3 Max | Qwen3 Max Thinking | Winner |
|---|---|---|---|
| Overall Score | 67 | 68 | Qwen3 Max Thinking |
| Rank | #113 | #111 | Qwen3 Max Thinking |
| Quality Rank | #113 | #111 | Qwen3 Max Thinking |
| Adoption Rank | #113 | #111 | Qwen3 Max Thinking |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.78/$3.90/M | $0.78/$3.90/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 Max Thinking |
| Benchmarks | 69 | 69 | Qwen3 Max |
| Pricing | 96 | 96 | Qwen3 Max |
| Context window size | 86 | 86 | Qwen3 Max |
| Recency | 91 | 100 | Qwen3 Max Thinking |
| Output Capacity | 75 | 75 | Qwen3 Max |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 67/100 (rank #113), placing it in the top 61% of all 290 models tracked.
Scores 68/100 (rank #111), placing it in the top 62% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Qwen3 Max also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.90/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content
Qwen3 Max and Qwen3 Max Thinking are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3 Max
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Max
0% lower pricing; better value at scale
Best for Reliability
Qwen3 Max
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 Max
Stronger community support and better developer experience
Best for Production
Qwen3 Max
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3 Max | Qwen3 Max Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Qwen3 Max | Qwen3 Max Thinking |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 32,768 | 32,768 |
| Open Source | No | No |
| Created | Sep 23, 2025 | Feb 9, 2026 |