Models / Qwen3.7-Plus
Qwen3.7-Plus
Qwen3.7 family · Provider: alibaba-cloud · Status: active · Released: 2026-05-26
Qwen3.7-Plus is a Qwen3.7 model developed by alibaba-cloud, a Chinese AI company, released 2026-05-26 and closed weights.
| Key fact | Value |
|---|---|
| Model ID | qwen3.7-plus |
| Architecture | Not publicly disclosed |
| Context window | Unknown |
| Open weights | No |
| License | proprietary |
| Self-hosting | No |
| API available | Yes |
| API pricing | $0.4 input / $1.6 output per 1M tokens (USD) · provider pricing page |
Capabilities
| Capability | Supported |
|---|---|
| Reasoning | Unknown |
| Coding | Unknown |
| Math | Unknown |
| Chinese | Unknown |
| English | Unknown |
| Multilingual | Unknown |
| Vision | Unknown |
| Audio | Unknown |
| Video | Unknown |
| Tool calling | Unknown |
| Function calling | Unknown |
| Structured output | Unknown |
| Agent capability | Unknown |
| RAG | Unknown |
| Computer use | Unknown |
Known limitations
- Context window, capabilities and benchmark results are not published on the official pricing page; not publicly documented as of 2026-09-27
- List price $0.4/$1.6 (≤256K) and $1.2/$4.8 (256K–1M) on the International region; Beijing region $0.276/$1.101 and $0.826/$3.301
What it is. Qwen3.7-Plus (equivalent to qwen3.7-plus-2026-05-26) is Alibaba Cloud’s previous-generation plus-tier API model: a closed-weight, proprietary mid-tier SKU on Model Studio. Why it matters. It is a documented, billable mid-tier option that remains listed after Alibaba’s flagship line moved to Qwen3.8 — a live example of how Alibaba tiers its lineup by price while letting older SKUs keep billing for pinned integrations. Key characteristics. $0.4 input / $1.6 output per 1M tokens (≤256K tier) on the International region, a higher 256K–1M tier at $1.2 / $4.8, and a limited-time 20% console discount. What a professional should know. It has been superseded in the flagship line by Qwen3.8-Max, and its context window, capabilities and benchmark results are not published on the official pricing page as of 2026-09-27.
Status and successor
Qwen3.7-Plus is superseded in Alibaba’s line-up by Qwen3.8-Max but is not discontinued — it remains an active, billable SKU on Model Studio. This matters for existing integrations: pinned deployments on qwen3.7-plus keep working and billing, but new workloads should evaluate Qwen3.8-Max first. China AI Hub analysis indicates this superseded-but-active state is the standard Chinese API pattern for mid-tier models — vendors rarely hard-deprecate a plus-tier SKU, they simply stop marketing it and let price-tier positioning do the migration.
What is and is not documented
The pricing page is the only substantive source: it documents price tiers but does not publish a context window, capability list or benchmark results for Qwen3.7-Plus. China AI Hub analysis indicates this thin documentation is itself the clearest signal of the model’s position — a superseded mid-tier SKU is documented only for billing, not for evaluation, which is why the database records it as partially_verified with the capability gap explicitly noted. The two context-tier price bands (≤256K and 256K–1M) imply a 1M-context option exists, but that is an inference from pricing, not a published specification.
Pricing detail
List price is $0.4 / $1.6 (≤256K) and $1.2 / $4.8 (256K–1M) on the International region; the Beijing region lists $0.276 / $1.101 and $0.826 / $3.301. The 3x jump between the ≤256K and 256K–1M tiers is the operative cost fact for long-context use. The two context tiers imply the model supports up to a 1M context option, though the exact context window is not published on the official pricing page as of 2026-09-27 — recorded here as not publicly documented. The limited-time 20% console discount is a vendor-stated promotion, not a permanent list price.
How it relates to Qwen3.8
China AI Hub analysis indicates Qwen3.7-Plus occupies the previous-generation mid-tier: it is cheaper than Qwen3.8-Max ($0.4/$1.6 vs $1.65–$2/$4.951–$6) but lacks a published benchmark or capability card. The successor publishes a full architecture card (2.4T MoE, 95B active, Gated DeltaNet hybrid) and five vendor benchmark rows, whereas Qwen3.7-Plus publishes neither. For cost-sensitive text workloads where a mid-tier plus model is sufficient, it remains a documented, billable option; for capability-critical work, the successor’s published benchmarks argue for Qwen3.8-Max. See the state of China’s AI models research.
Suitable and less suitable workloads
Well-suited: cost-sensitive text workloads where a mid-tier plus model is sufficient, and pinned integrations that already call qwen3.7-plus and prefer billing continuity over migration. Less suited: capability-critical work (no published benchmarks), long-context work above the ≤256K tier (3x price jump), and any deployment that needs a documented context window, capability list or self-hosting path (closed-weight, proprietary).
Where this model fits
| Workload | Relevance |
|---|---|
| Long-context analysis | Unknown |
| Coding | Unknown |
| Structured API workflows | Moderate |
| Agent orchestration | Unknown |
| Local self-hosted deployment | No evidence |
| GUI automation | No evidence |
| Video generation | No evidence |
| Enterprise cloud | Moderate |
Relevance judgments are China AI Hub analysis based on documented capabilities, not vendor claims. Capability-specific rows are Unknown because Alibaba publishes no capability or benchmark data for this model.
China AI Hub analysis
China AI Hub analysis indicates Qwen3.7-Plus is best read as a legacy billing SKU rather than a model Alibaba wants you to evaluate: it is documented only for price, superseded in the flagship line by Qwen3.8-Max, and left active to avoid breaking pinned integrations. Its presence in the database is useful precisely as a cautionary data point — a model that is billable but effectively undocumented on capabilities illustrates how much of the Chinese API layer is priced-positioned rather than specification-positioned, and why “active on the pricing page” is not the same as “recommended for new work.”
What is uncertain
- The context window, capabilities and benchmark results are not published on the official pricing page as of 2026-09-27.
- Whether a 1M-context option exists is inferred from the two pricing tiers, not confirmed by a published specification.
- The limited-time 20% discount’s end date is not documented.
Sources
| evidence_id | source_name | source_url | source_type | published | verified | confidence | conflict |
|---|---|---|---|---|---|---|---|
| src-models-qwen3.7-plus-1 | Alibaba Cloud Model Studio — model pricing | https://www.alibabacloud.com/help/en/model-studio/model-pricing | Official documentation | — | 2026-09-27 | high | — |
Labels used above: Official fact (pricing and SKU facts from Model Studio), Vendor-reported claim (the 20% limited-time discount, as stated by Alibaba), and China AI Hub analysis (our synthesis, introduced as such). Context window, capabilities and benchmark scores are not publicly documented for this model.
Data interpretation
| Field | Value | Evidence type |
|---|---|---|
| Open weights | No | Official |
| License | proprietary | Official |
| API pricing | $0.4 / $1.6 per 1M tokens (USD) | Official |
| Family position | 1 model in the Qwen3.7 family | China AI Hub analysis |
Evidence types: Official = vendor documentation, pricing pages or model cards. Vendor-reported = benchmark scores published by the vendor. China AI Hub analysis = derived from the database itself. See the sourcing policy.
Sources
Confidence and source hierarchy per the sourcing policy. Facts change; check the source before relying on this page.
What is the context window of Qwen3.7-Plus?
The context window of Qwen3.7-Plus has not been publicly disclosed.
Is Qwen3.7-Plus open weight?
No — Qwen3.7-Plus is not open weight.
How much does Qwen3.7-Plus cost through the API?
$0.4 per 1M input tokens and $1.6 per 1M output tokens (USD).
Where does China AI Hub get its Qwen3.7-Plus data?
From 1 source (official pages first), last verified 2026-09-27. Benchmark scores are labeled by source type; see the sourcing policy for details.