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Model details

Qwen3.7 Plus

Qwen3.7 Plus is Alibaba's multimodal agent model designed to combine visual perception, GUI interaction, and code generation inside a single autonomous loop, which makes it well suited for tasks that require looking at a screen, deciding what to click or type, and producing code or other text in response. Built by the Qwen team and released as a proprietary, API-only offering with no open weights, it represents a deliberate departure from Alibaba's earlier open-source Qwen releases and signals a focus on deployable agent behavior rather than open model artifacts. The model's intended sweet spot is software and interface automation, where reading images and video and acting on what is seen matters more than isolated text reasoning.

On screen-grounded and agent-style benchmarks, Qwen3.7 Plus is reported by Alibaba-aligned coverage to score 79.0 on ScreenSpot Pro, ahead of GPT-5.4's 67.4, and 81.0 on AndroidWorld, ahead of Gemini 3.1 Pro's 70.7, while still trailing on pure reasoning benchmarks, suggesting strong practical agent competence paired with a relative weakness in standalone logic-heavy tasks. Independent leaderboard tracking places the model in the upper portion of chat and long-context rankings but in the middle of the pack for reasoning, coding, and tool calling, reinforcing the same picture: it is most reliable as a vision-driven agent and less competitive as a pure reasoner. Practitioners considering Qwen3.7 Plus should treat it as a specialized agent model for screen-aware workflows, autonomous coding loops, and multimodal assistants, rather than a general-purpose frontier reasoner.

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Quick Info

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Model key
alibaba/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
$0.32
Output token cost
$1.28

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

Alibaba

Coverage

Alibaba's Qwen team released Qwen3.7-Plus on June 2, 2026, as a multimodal agent model that accepts text, images, and video as input but outputs text, combining visual perception, GUI control, and autonomous code generation within a single agent loop. The model is generally available via Alibaba Cloud's Bailian platfor Qwen3.7-Plus leads Alibaba's benchmarks on GUI- and mobile-agent tasks, scoring 79.0 on ScreenSpot Pro (vs. GPT-5.4's 67.4) and 81.0 on AndroidWorld (vs. Gemini 3.1 Pro's 70.7), but trails on pure reasoning workloads. The model is described as designed for full-stack, agent-level intelligence spanning coding, tool use,

Cloudflare AI Gateway

CoverageBenchmark

The Atlas Cloud blog reports independent benchmark testing of Qwen3.7-Plus versus Qwen3.7-Max, noting both models appeared on LM Arena in mid-May 2026 and were officially released on June 2 by the Alibaba Cloud Tongyi Qianwen team. Qwen3.7-Plus is available on Alibaba Cloud Model Studio and Qwen Chat with API access un In independent testing on a BugFind-10 suite with the official Stirrup scaffold, Qwen3.7-Plus scored 10/10 passing external pytest checks while Max and Qwen3.6-Plus each scored 9/10. On 15 AIME 2025 math contest problems with thinking enabled, Plus and Max both answered 14 correctly, but Plus took significantly less ti

Cloudflare AI Gateway

CoverageBenchmark

The BenchLM.ai page documents Qwen3.7 Plus as a proprietary reasoning model with 1M-token context, released June 3, 2026, scoring 62.3 out of 100 and ranking 57 of 232 models. Its strongest category is Multilingual at rank 3 of 12 (82nd percentile), with notable performance in Instruction Following (87th percentile, ra The page reports a speed of 55 tokens per second with a first-token latency of 38.14 seconds, though it notes no first-party API token rate is published in its catalog. With 52 published benchmark rows, the page provides a broad capability profile but leaves some tracked benchmark slots empty. The data is dated as of S

Cloudflare AI Gateway

CoverageBenchmark

The llm-stats scorecard profiles Qwen3.7-Plus with an LLM Stats Score placing it at rank 45 overall and ranks its capability tiers as Top 2% in Legal (2 of 210) and Healthcare (2 of 244), Top 10% in Chat (7 of 133), Long Context (9 of 119), and Finance (4 of 227), and Top half in Math (18 of 327), Vision (22 of 208), R The page lists explicit benchmark scores sourced from qwen.ai, including IFEval at 0.95/1 (rank 2), MMLU-Redux at 0.94/1 (rank 3), HMMT Feb 26 at 0.93/1 (rank 4), and MRCR v2 results, giving a composite snapshot of the model's instruction-following, knowledge, math, and long-context performance as of the mid-September

Alibaba

CoverageBenchmark

The OpenRouter catalog page for qwen/qwen3.7-plus confirms the model as a cost-effective entry in Alibaba's Qwen3.7 series, supporting text and image input with text output, a 1.0M-token context window, and a release date of June 3, 2026. Listed pricing is $0.32 per 1M input tokens and $1.28 per 1M output tokens, with Performance metrics from OpenRouter show P50 latency of approximately 0.77 seconds and throughput of about 15 tokens per second from Alibaba Cloud International, with 100.00% uptime reported; tail latencies at P95 average 2.54s and at P99 reach 5.40s. The model shows a tool-call error rate of about 8.77% on Alibaba Clo

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