qwen3.7-flash-2026-07-15: pricing, token costs and conditions

Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about qwen3.7-flash-2026-07-15

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

How much does qwen3.7-flash-2026-07-15 cost?

The recorded token rates for qwen3.7-flash-2026-07-15 are:

Input: US$0.03 per 1 million input tokens. Source
Output: US$0.13 per 1 million output tokens. Source

Rate conditions: The displayed pair uses the first listed input-size tier. Singapore; deployment International. Deployment scope: International; Input tokens per request: 0<Token≤32K; Input price (per 1 million tokens): $0.030; Output price (per 1 million tokens): $0.130 | Deployment scope: International; Input tokens per request: 32K<Token≤256K; Input price (per 1 million tokens): $0.100; Output price (per 1 million tokens): $0.400 | Deployment scope: International; Input tokens per request: 256K<Token≤1M; Input price (per 1 million tokens): $0.200; Output price (per 1 million tokens): $0.800. USD list prices as checked, not a universal cross-region quote. Cache charges, batch discounts and promotional prices can differ. Source

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.00056 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

Which qwen3.7-flash-2026-07-15 does this page describe?

qwen3.7-flash-2026-07-15 is a model record from Qwen in the Qwen family. Source

The recorded model identifier or checkpoint is qwen3.7-flash-2026-07-15. Use that exact identifier when checking documentation or a provider listing. Source

How can you access qwen3.7-flash-2026-07-15?

The catalog documents API access for qwen3.7-flash-2026-07-15. Source

As of the catalog check, this version was listed without confirmed general availability. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

What distinguishes qwen3.7-flash-2026-07-15?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Published regional API pricing: Singapore; deployment International. Deployment scope: International; Input tokens per request: 0<Token≤32K; Input price (per 1 million tokens): $0.030; Output price (per 1 million tokens): $0.130 | Deployment scope: International; Input tokens per request: 32K<Token≤256K; Input price (per 1 million tokens): $0.100; Output price (per 1 million tokens): $0.400 | Deployment scope: International; Input tokens per request: 256K<Token≤1M; Input price (per 1 million tokens): $0.200; Output price (per 1 million tokens): $0.800. USD list prices as checked, not a universal cross-region quote. Cache charges, batch discounts and promotional prices can differ. Source

Keep the exact version in view

Other Qwen models from Qwen.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

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The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher: QwenSource ↗
Family: QwenSource ↗
Version: qwen3.7-flash-2026-07-15Source ↗
Availability: Listed by publisherSource ↗
Access: APISource ↗
Inputs: Not documented
Outputs: Not documented
Context window: Not documented
Maximum input: Not documented
Maximum output: Not documented
Knowledge cutoff: Not documented
Training-data cutoff: Not documented
Training completed: Not documented
Release date: Not documented
License: Not documented
Input price / 1M tokens: $0.03Source ↗
Output price / 1M tokens: $0.13Source ↗

Read this with the numbers.

Listed in official hosted pricing inventory; regional endpoint availability must be checked. Dates in the model identifier are not treated as independently verified release dates.

The displayed pair uses the first listed input-size tier. Singapore; deployment International. Deployment scope: International; Input tokens per request: 0<Token≤32K; Input price (per 1 million tokens): $0.030; Output price (per 1 million tokens): $0.130 | Deployment scope: International; Input tokens per request: 32K<Token≤256K; Input price (per 1 million tokens): $0.100; Output price (per 1 million tokens): $0.400 | Deployment scope: International; Input tokens per request: 256K<Token≤1M; Input price (per 1 million tokens): $0.200; Output price (per 1 million tokens): $0.800. USD list prices as checked, not a universal cross-region quote. Cache charges, batch discounts and promotional prices can differ.

Model identifiers and aliases 1

qwen3.7-flash-2026-07-15

Follow the evidence

Official sources.

model pricing — official Qwen documentation ↗www.alibabacloud.com

From the Headless Thrones newsroom

Editorial about qwen3.7-flash-2026-07-15

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

qwen3.7-flash-2026-07-15

Qwen · API

Browse all models ↗

Inputs: Not documented
Outputs: Not documented
Context window: Not documented
Knowledge cutoff: Not documented

A place to begin comparing

0 models to consider.

Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

No candidate meets the documented access, input/output and context criteria. You can still choose models manually in the comparison tool.

A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated Oct 23, 2026. Source links are provided on each model record.

View the full coverage report and discovery sources ↗