High confidence
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
40
Score Trend
14-day history
API Pricing
$1.25/M in
$3.75/M out
Context Window
1.0M
65.5K max output
#185range #168-#202Top 58%
#1#321
Signal Overview
Score Breakdown
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Pricingjust now | 96 | 25% | +24.1 |
| Capabilitiesjust now | 67 | 30% | +20.0 |
| Recencyjust now | 100 | 15% | +15.0 |
| Context Windowjust now | 86 | 15% | +12.9 |
| Output Capacityjust now | 80 | 15% | +12.0 |
Capabilities
Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output
Modalities
Input
text
Output
text
Recent Alibaba releases
View this model against the provider’s recent shipping cadence.
Reviews
Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.
Reviews
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Frequently Asked Questions
Qwen3.7 Max by Alibaba excels in the Coding category, where it ranks #185 with a composite score of 40/100. Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
Qwen3.7 Max is priced at $1.25 per million input tokens and $3.75 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, Qwen3.7 Max holds rank #185 out of 321 models tracked. Its quality rank is #185 and adoption rank is #185. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Qwen3.7 Max has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (96/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.
Qwen3.7 Max is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Alibaba's website for current free tier availability and promotional offers.
Qwen3.7 Max supports a 1,000K token context window (1,000,000 tokens total). That translates to roughly 750,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.
Qwen3.7 Max can generate up to 66K output tokens (65,536 tokens) per response. That is roughly 49,152 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.
Qwen3.7 Max supports function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.
Qwen3.7 Max was developed by Alibaba. It was released on May 21, 2026. You can access it through Alibaba's API. Check our provider page for all models from Alibaba and how they compare against each other.
Pick Qwen3.7 Max when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Qwen3.7 Max through Alibaba's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.
Key Info
Data updated: Jul 8, 2026
Pricing Tools
Pricingper 1M tokens
Best value
56% cheaper than category average
Input
$1.25
-46% vs avg
Output
$3.75
-65% vs avg
Cost Estimator
Input: 70%Output: 30%
Est. monthly cost$20.00
Category average$48.63
You save $28.63/month vs category average
Access & Availability
Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed
Why This Rank
+Pricing
+Capabilities
+Recency
+Context Window