Alibaba

Alibaba

Qwen 3.8 Flash

Alibaba's newest Flash tier — ultra cost-efficient multimodal MoE. 1M context, vision, cheaper per token than the Max line.

Modalities

Text+Image → Text

Below release

Not established

Weights

Published

Qwen/Qwen3.8-Flash-Next

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#12/70

$0.203

output $0.635

median $0.977 · best $0.0494

Price · output#12/70

$0.635

per 1M tokens generated

median $3.4515 · best $0.2164

Availability · 30d#68/70

73.13%

536 observations since 2026-08-30

median 93.9% · best 100.0%

Throughput#29/70

47.9 tok/s

probe median, one fixed prompt

median 39.5 tok/s · best 313.5 tok/s

Response time#32/70

2.22 s

probe median, to a complete answer

median 2.45 s · best 0.84 s

Context

1M

max output 131,072

published by Alibaba, not measured here

Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#21

of 117 active models

Tokens served

15.5M

all-time

Platform share

0.4%

of all tokens

Tokens · last 15 daysAug 26Sep 9

How it behaves under real clients

The same model answering different prompt shapes — measured, not benchmarked.

ClientRequestsTokensThroughputTo first tokenp95 totalCompleted
OpenAI Python2098.8M55 tok/s2.14 s71 s92.3%
Node.js App1685.7M35 tok/s6.78 s38 s67.9%

Grouped by the client that sent the request. Not a benchmark: the same model on different prompt shapes. Throughput and time-to-first-token are medians; p95 is the slowest response in twenty. 2 clients under 100 requests not shown.

Two clocks, and why they disagree

Kyma measures this model twice. Both are real; they answer different questions.

Probe · every 6h · 30 days

2.22s to answer

One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.

Observations
536
Answered by a substitute
46

Real traffic · last 7 days

6.99s to answer

Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.

Requests
402
Completed
83.8%
p95
59.6 s

The gap is prompt length, not the model degrading. Use the probe figure to choose between models, the traffic figure to budget for your own.

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$0.203 /1M input$0.635 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.22/mo
Production1,000 req/day · 2K in / 500 out
~$21.71/mo
Scale20,000 req/day · 2K in / 500 out
~$434/mo
+ Estimate your workload
1,000
2,000
500

Estimated monthly cost

$21.71

$0.7235 / day on Qwen 3.8 Flash

Same workload on:

Qwen 3.8 27B$94.77+337%
Qwen 3.7 Flash$6.23-71%

Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.

How it compares

Against the peers people actually weigh it against.

SpecQwen 3.8 FlashQwen 3.8 27BQwen 3.7 Flash
Input /1M$0.203$0.567$0.0498
Output /1M$0.635$4.05$0.2164
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput47.9 tok/s47.4 tok/s110.2 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit on the free tier, which covers Qwen 3.8 Flash. No card required.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen3.8-flash",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen3.8-flash",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of Qwen 3.8 Flash?

Qwen 3.8 Flash has a 1M-token context window — roughly 1471 pages of text in a single request.

How much does the Qwen 3.8 Flash API cost?

$0.203 per 1M input tokens and $0.635 per 1M output tokens. No subscription; you pay only for what you use.

Does Qwen 3.8 Flash support function calling?

Yes — Qwen 3.8 Flash supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

Are the weights for Qwen 3.8 Flash publicly available?

Yes. Alibaba publishes Qwen 3.8 Flash's weights as Qwen/Qwen3.8-Flash-Next, so you can download and run the model yourself (https://huggingface.co/Qwen/Qwen3.8-Flash-Next, read 2026-09-04). Kyma serves it because it is convenient and has failover behind it, not because it is the only way to reach it.

Is Qwen 3.8 Flash ever served below the precision its creator released it at?

Kyma cannot say. Answering it needs the precision Alibaba released Qwen 3.8 Flash in, and we could not source that from Alibaba's own material — so there is nothing to compare a route against. We publish "not established" rather than reading a low format as a downgrade: on several models in this catalogue a low format is exactly how the creator ships it.

How do I use Qwen 3.8 Flash?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to qwen3.8-flash. Signing up is free and includes $0.50 of credit on the free tier, which covers this model — no card required.

Start with $0.50 free credit on the free tier — no card required.Create account →

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