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Model details

Qwen3.7 Plus

Qwen3.7 Plus sits in the middle of the Qwen 3.7 family as a "Plus" tier option that tries to balance capability with cost. According to AIHubMix's listing, the model builds on strong text foundations and layers in a comprehensive upgrade to vision-language understanding, positioning it for workflows where language and visual perception intersect. That positioning makes it useful for teams that want one model to handle reading documents, interpreting screens, and generating code informed by visual context, without jumping to a separate vision-specialized endpoint.

The model's defining trait is what AIHubMix describes as "multimodal interactive hybrid agent capabilities," meaning it can perceive real-world scenes, read on-screen content, operate graphical interfaces, generate code from visual references, and navigate mobile applications end-to-end. These visual-agent strengths are paired with retained agent capabilities for coding, tool use, and productivity workflows, so it remains a practical fit for builders assembling agentic pipelines that need both eyes and hands. Pricing on AIHubMix is split across four components — base input/output, web search requests, cache write, and cache read — with a tiered structure that scales once prompts exceed the lower input range, reflecting the heavier compute footprint that vision and GUI tasks tend to carry.

AIHubMixqwen3.7-plusqwen

Quick Info

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Provider
AIHubMix
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
$0.282
Output token cost
$1.128

Limits

Output tokens
64,000 tokens
Context window
991,000 tokens

Transparent token rates

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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

AIHubMix

Coverage

Alibaba's Qwen team released Qwen3.7-Plus on June 2, 2026 as a multimodal agent model that combines visual perception, GUI control, and code generation within an autonomous agent loop. The model accepts text, images, and video as input but outputs only text, enabling it to read screens, navigate applications, write cod Qwen3.7-Plus is proprietary and API-only with no open weights, marking a shift from Alibaba's previously open-source Qwen releases. Per supplied coverage, the model leads Alibaba's benchmarks on ScreenSpot Pro (79.0 vs GPT-5.4's 67.4) and AndroidWorld (81.0 vs Gemini 3.1 Pro's 70.7), but trails on pure reasoning tasks.

AIHubMix

CoverageBenchmark

Qwen3.7 Plus scores 61.6 out of 100 and ranks 51 of 232 models on the BenchLM composite benchmark, placing it in the B Average tier (top half). Released June 3, 2026 as a proprietary reasoning model with 1M context window, it demonstrates particular strength in Instruction Following (87th percentile) and Multilingual ( Capability percentile breakdown shows Instruction Following at 87th, Multilingual at 82nd, Knowledge at 74th, Coding at 70th, Multimodal at 64th, and Agentic at 17th percentile. Measured throughput reaches 66 tok/s with a first-token latency of 32.53 seconds across 52 published benchmark rows. No comparable first-party

AIHubMix

Coverage

Alibaba's (HKEX: 9988) Qwen team officially announced on X the launch of Qwen3.7-Plus, described as a multimodal agent model that integrates vision and language into a single intelligent agent foundation, with availability on Alibaba Cloud Model Studio for external API access. According to The Standard's June 2, 2026 r The model's distinguishing feature is its role as a multimodal interactive hybrid agent with cross-framework generalization, maintaining stable performance whether deployed through Claude Code, OpenClaw, Qwen Code, or other frameworks per the supplied excerpt. Qwen3.7-Plus's enhancements extend beyond point-level visua

AIHubMix

CoverageBenchmark

Qwen3.7-Plus ranks 45th overall on the LLM Stats composite leaderboard with strong capability tiers in Legal (2 of 210), Healthcare (2 of 244), and Finance (4 of 227), while showing weaker performance in Tool Calling (43 of 193) and Coding (48 of 266). The model earns a stable quality tracker rating of +0.98σ across 62 Specific benchmark scores sourced from qwen.ai include IFEval at 0.95 (rank 2), MMLU-Redux at 0.94 (rank 3), HMMT February 2026 at 0.93 (rank 4), and MRCR v2 for long-context coreference resolution. The model shows particular strength in Chat (+1.66σ across 33 evaluations) and SVG generation (+1.99σ), with category-lea

AIHubMix

CoverageBenchmark

The OpenRouter model page for Qwen3.7 Plus documents a multimodal model in Alibaba's Qwen3.7 series, accepting text and image input while emitting text output, with a 1M-token context window and a release date of June 3, 2026. Pricing is listed at $0.32 per million input tokens and $1.28 per million output tokens, with Live telemetry on the same page reports a P50 latency of 0.98 seconds and best-provider throughput of 10 tokens per second, with three-day uptime at 100.00% and inference availability at 99.85%. Tool-call error rate averages 4.27%, structured-output errors 3.21%, and cache-hit rate 62.58% for the Alibaba Cloud Internat

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