Qwen FlashvsQwen3.5-Flash

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits

8,000 tokens in, 2,000 out

Qwen Flash on Alibaba Cloud Model StudioQwen3.5-Flash on Alibaba Cloud Model Studio
Rate appliedBase rateBase rate
Inputper 1M tokens$0.022 $0.029
Cache readper 1M tokens$0.005 $0.003
Outputper 1M tokens$0.216 $0.287
Cost per request$0.000608$0.000806
Per 1,000 requests$0.608$0.806

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Cost per request as prompts grow

2K tokens out, list price on each maker’s API. Qwen Flash charges $0.087 / $0.861 above 128K tokens. Qwen Flash charges $0.173 / $1.721 above 256K tokens. Qwen3.5-Flash charges $0.115 / $1.147 above 128K tokens. Qwen3.5-Flash charges $0.172 / $1.72 above 256K tokens.

0$0.050$0.10$0.150250K500K750K1Mprompt tokens per request128K256K8KQwen Flash$0.000608 at 8KQwen3.5-Flash$0.000806 at 8K
  • Qwen Flash · Alibaba Cloud Model Studio
  • Qwen3.5-Flash · Alibaba Cloud Model Studio

Key differences

InputMaker’s official API · global · USD
$0.022 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
$0.029 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
OutputMaker’s official API · global · USD
$0.216 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
$0.287 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
InputMaker’s official API · international · USD
$0.050 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
$0.10 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
InputMaker’s official API · china · CNY
¥0.15 / 1M tokens 阿里云百炼:模型价格in Chinese · as of Nov 2, 2026
¥0.20 / 1M tokens 阿里云百炼:模型价格in Chinese · as of Nov 2, 2026
OutputMaker’s official API · china · CNY
¥1.50 / 1M tokens 阿里云百炼:模型价格in Chinese · as of Nov 2, 2026
¥2.00 / 1M tokens 阿里云百炼:模型价格in Chinese · as of Nov 2, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

Qwen Flash Alibaba Qwen Qwen3.5-Flash Alibaba Qwen
Overview
ReleasedAug 1, 2025 Feb 23, 2026
Open weights— —
Knowledge cutoffApr 2024 Not stated
Specs
Context1M 1M
Max inputNot stated 991.81K
Max output32.77K 65.54K
Input modalitiesText Text, Image, Video
Output modalitiesText Text
ReasoningYes Yes
Reasoning can be offYes Yes
Max thinking budgetNot stated 81.92K
Tool useYes Yes
Structured outputYes Yes
Built-in toolsNot stated Web search
Pricing · per 1M tokens
Input price$0.022Also priced under other conditions: Prompts over 128K tokens, Prompts over 256K tokens $0.029Also priced under other conditions: Prompts over 128K tokens, Prompts over 256K tokens
Output price$0.216Also priced under other conditions: Prompts over 128K tokens, Prompts over 256K tokens $0.287Also priced under other conditions: Prompts over 128K tokens, Prompts over 256K tokens
Cache read price$0.005Also priced under other conditions: Explicit cache $0.003Explicit cache
Cache write price$0.028Explicit cache $0.036Explicit cache
Blended price (3 input : 1 output)$0.0705 $0.0935
Pricing under conditions · per 1M tokens
Input price, long prompts$0.087Prompts over 128K tokens $0.115Prompts over 128K tokens
Output price, long prompts$0.861Prompts over 128K tokens $1.147Prompts over 128K tokens
Cited scores
LMArena Text— 1,396
LMArena Text · Coding— 1,435
LMArena Text · Chinese— 1,439
Epoch AI · GPQA Diamond— 82.3%
Epoch AI · FrontierMath Tiers 1–3— 18.2% reasoning off

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores