Hunyuan Hy4 vs Qwen 3.7 Plus
Tencent · China | Alibaba · China · Updated June 2026
Quick verdict
Pick Hunyuan Hy4 for first hunyuan model with vision and computer use, adding image input to the text-only hy4 preview or tencent-reported gains over the preview of 19.1% on gamedev and 9.8% on gamelogic. Pick Qwen 3.7 Plus for reading screens and interacting with guis or generating code from visual references. On a tight budget at scale, Qwen 3.7 Plus is the value pick.
Hunyuan Hy4 (Tencent) and Qwen 3.7 Plus (Alibaba) are two of the models people most often weigh against each other in 2026. Hunyuan Hy4 is tencent's November 4, 2026 full Hy4 release - a 1M-context model that adds vision and computer use at about $0.90/$2.70, with weights promised but not yet public. Qwen 3.7 Plus is alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
- ▸Price: Qwen 3.7 Plus is about 2.3× cheaper on input ($0.4/$1.6 per 1M tokens vs $0.9/$2.7 per 1M tokens) — meaningful once you are processing millions of tokens a month.
- ▸Context window: 1M tokens vs 1M — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
- ▸Recency: Hunyuan Hy4 is the newer model by about 5 months (released November 4, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | Hunyuan Hy4 | Qwen 3.7 Plus |
|---|---|---|
| Provider | Tencent (China) | Alibaba (China) |
| Released | November 4, 2026 | June 1, 2026 |
| Context window | 1M tokens (~1,573 pages) | 1M (~1,500 pages) |
| Price (in/out) | $0.9/$2.7 per 1M tokens | $0.4/$1.6 per 1M tokens |
| Open weight? | No — API only | No — API only |
| Modalities | text, image, code | text, image, video, code |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
First Hunyuan model with vision and computer use, adding image input to the text-only Hy4 Preview
Hunyuan Hy4
Qwen 3.7 Plus is comparatively weak here — outputs text only, no image, audio, or video generation
Tencent-reported gains over the preview of 19.1% on GameDev and 9.8% on GameLogic
Hunyuan Hy4
Tencent's November 4, 2026 full Hy4 release - a 1M-context model that adds vision and computer use at about $0.90/$2.70, with weights promised but not yet public — and it is the newer of the two.
Tencent-reported financial evaluation of 3.04, ahead of DeepSeek V4.1 Flash 1017 at 2.97
Hunyuan Hy4
Hunyuan Hy4 lists tencent-reported financial evaluation of 3.04, ahead of DeepSeek V4.1 Flash 1017 at 2.97 among its strengths; Qwen 3.7 Plus does not.
Reading screens and interacting with GUIs
Qwen 3.7 Plus
Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end — and it runs cheaper at $0.4/$1.6 per 1M tokens.
Generating code from visual references
Qwen 3.7 Plus
Qwen 3.7 Plus lists generating code from visual references among its strengths; Hunyuan Hy4 does not.
Agentic tool use, verification, and autonomous iteration
Qwen 3.7 Plus
Qwen 3.7 Plus lists agentic tool use, verification, and autonomous iteration among its strengths; Hunyuan Hy4 does not.
Lowest cost at scale
Qwen 3.7 Plus
At $0.4/$1.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Qwen 3.7 Plus
At $0.4/$1.6 per 1M tokens it undercuts Hunyuan Hy4, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Hunyuan Hy4
Larger 1M tokens window fits more in one prompt.
Anyone whose priority is first hunyuan model with vision and computer use, adding image input to the text-only hy4 preview
→ Hunyuan Hy4
It is specifically built for that.
Anyone whose priority is reading screens and interacting with guis
→ Qwen 3.7 Plus
That is its strongest area.
Hunyuan Hy4: where it fits
Tencent's November 4, 2026 full Hy4 release - a 1M-context model that adds vision and computer use at about $0.90/$2.70, with weights promised but not yet public. Released November 4, 2026 by Tencent, it is built for first Hunyuan model with vision and computer use, adding image input to the text-only Hy4 Preview, tencent-reported gains over the preview of 19.1% on GameDev and 9.8% on GameLogic, tencent-reported financial evaluation of 3.04, ahead of DeepSeek V4.1 Flash 1017 at 2.97, and about $0.90/$2.70 per million tokens, with 50% off on Tencent Cloud TokenHub through December 31, 2026 (OpenRouter lists $0.417/$1.25 with that discount).
Its trade-offs are real: weights not public as of November 5, 2026 - Tencent says weights and system cards will come in the coming days, and no license is announced yet, only the earlier Hy4 Preview is downloadable today (Apache 2.0), published improvements are Tencent's own and mostly relative to the preview, with no SWE-bench Verified figure, and sources differ on list price: Tencent says about $0.90/$2.70, while OpenRouter and Vals show $0.83/$2.50. At $0.9 in / $2.7 out per million tokens, it sits in the budget price band.
Qwen 3.7 Plus: where it fits
Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. Released June 1, 2026 by Alibaba, it is built for reading screens and interacting with GUIs, generating code from visual references, agentic tool use, verification, and autonomous iteration, and cost-effective vision-language processing at 1M context.
Its trade-offs: proprietary and API-only, with no downloadable weights, and outputs text only, no image, audio, or video generation. At $0.4 in / $1.6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Hunyuan Hy4 and Qwen 3.7 Plus overlap enough that the right pick depends on your specific job. Qwen 3.7 Plus costs less per token; Hunyuan Hy4 holds the larger context; and each leads in its own area — Hunyuan Hy4 for first hunyuan model with vision and computer use, adding image input to the text-only hy4 preview, Qwen 3.7 Plus for reading screens and interacting with guis. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Hunyuan Hy4 and Qwen 3.7 Plus without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
See pricingFrequently asked questions
Is Hunyuan Hy4 or Qwen 3.7 Plus better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Hunyuan Hy4 leans toward first hunyuan model with vision and computer use, adding image input to the text-only hy4 preview while Qwen 3.7 Plus leans toward reading screens and interacting with guis, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Hunyuan Hy4 or Qwen 3.7 Plus?
Qwen 3.7 Plus is cheaper — $0.9/$2.7 per 1M tokens vs $0.4/$1.6 per 1M tokens, roughly 2.3× apart on input.
Which has the bigger context window?
Effectively neither — 1M tokens vs 1M is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Hunyuan Hy4 and Qwen 3.7 Plus together?
Yes — a multi-model platform like LumiChats gives you Hunyuan Hy4, Qwen 3.7 Plus and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Hunyuan Hy4 or Qwen 3.7 Plus?
Hunyuan Hy4 — released November 4, 2026, about 5 months after Qwen 3.7 Plus.
Related comparisons
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.