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Model details

Qwen3.7 Plus

Qwen3.7 Plus sits inside Alibaba's Qwen3.7 series as a cost-effective flagship that ties together text generation, an upgraded vision-language stack, and agent-level intelligence. Independent listings describe it as a versatile agent foundation that pairs full-stack coding and productivity strengths with a comprehensive vision-language upgrade, so it can move fluidly between reading screens, interpreting real-world scenes, and writing or executing code. Rather than locking into a single agent scaffold, the model is designed to generalize across agent frameworks, which suits builders who want a single backbone for both conversational assistants and tool-using workflows.

In practice, Qwen3.7 Plus is positioned for long-horizon, multimodal work that needs more than chat. It supports text and image input with text output, brings a 1,000,000-token context window for sustained multi-step tasks, and ships with function calling so it can drive APIs, CLIs, and graphical interfaces end to end. That combination makes it a practical fit for coding agents, GUI automation, mobile-app navigation, and other productivity pipelines where the model has to perceive a visual environment, reason over long histories, and take action through tools. Its hybrid GUI and CLI control, together with the very large context, gives it room to coordinate complex agentic runs without losing track of either the screen state or the broader plan.

DevPass (LLM Gateway)qwen3.7-plusqwen

Quick Info

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Provider
DevPass (LLM Gateway)
Model key
qwen3.7-plus
Release date
Jun 2, 2026
Last updated
Jun 2, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.40
Output token cost
$1.60

Limits

Output tokens
64,000 tokens
Context window
1,000,000 tokens

Transparent token rates

Compare Qwen3.7 Plus pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.7 Plus

DevPass (LLM Gateway)

Coverage

Alibaba's Qwen team released Qwen3.7-Plus on June 2, 2026, positioning it as a multimodal agent model that accepts text, images, and video as input while outputting only text. According to the MLQ News report, the model combines visual perception, graphical user interface control, and autonomous code generation within The same coverage reports benchmark scores of 79.0 on ScreenSpot Pro (versus GPT-5.4's 67.4) and 81.0 on AndroidWorld (versus Gemini 3.1 Pro's 70.7), indicating strong screen-grounded agent performance, though the model trails on pure reasoning benchmarks. Pricing was listed at approximately $0.40 per million input tok

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CoverageBenchmark

Atlas Cloud conducted a hands-on benchmark comparison of Qwen3.7-Plus against Qwen3.7-Max and Qwen3.6-Plus, testing bug repair on a 10-task BugFind suite, 15 AIME 2025 math contest problems, and broader multimodality/speed/cost metrics. The report, published June 4, 2026, confirmed Qwen3.7-Plus was available on Alibaba On the 15-problem AIME 2025 math suite, Qwen3.7-Plus with thinking enabled matched Qwen3.7-Max's single-run score of 14 correct answers but completed the problems in significantly less time (113 seconds versus 303 seconds per problem on average). The results were framed as task-level observations rather than a general

DevPass (LLM Gateway)

CoverageBenchmark

BenchLM.ai's catalog entry for Qwen3.7 Plus records the model as a proprietary release dated June 3, 2026, marketed as a reasoning model with a 1,000,000-token context window. The aggregator assigns it a composite capability score of 62.3 out of 100 and ranks it 57th out of 232 tracked models, noting that no comparable The page also breaks down Qwen3.7 Plus's category percentile standing within BenchLM's cohorts — Coding 73rd, Knowledge 73rd, Multilingual 82nd, Multimodal 64th, Instruction Following 87th, and Agentic 17th — and lists throughput figures of roughly 55 tokens per second with a first-token latency of 38.14 seconds, descr

DevPass (LLM Gateway)

CoverageBenchmark

The LLM-Stats benchmark page compiles evaluation results for Qwen3.7-Plus sourced primarily from qwen.ai, placing the model at rank 45 overall on the composite LLM Stats Score. The page reports strong capability-tier performance in Legal (2 of 210), Healthcare (2 of 244), and Finance (4 of 227), all in the top 2-5% of On specific benchmarks sourced from qwen.ai, Qwen3.7-Plus achieved 0.95/1 (rank 2) on IFEval, 0.94/1 (rank 3) on MMLU-Redux, 0.93/1 (rank 4) on HMMT February 2026, and competitive scores on MRCR v2 for long-context reasoning. Capability rankings in Vision (22 of 208), Reasoning (42 of 362), Tool Calling (43 of 193), an

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