Qwen: Qwen3 Coder Flash

by Qwen · Released 2025-09-17

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...

Try it in Chat Lab Compare Top up

Modalities

TextText

One kind of input · replies with text only

Price per 1M tokens

in63,18 DAout315,90 DA

A typical exchange costs about 0,22 DA

Context1M tokensMax output65.5K tokensReleased2025-09-17

On this page

What it can do

Real jobs this model can take on, based on what it can read and how it’s priced.

Run an agent that calls your own tools and replies in clean JSON

tool calling · structured output

Hold an entire codebase in one request and answer across it

1M-token context

Power a chat product at high volume, priced per reply

≈ 0,22 DA per typical reply

Good for

Very long documents — whole books or contract stacks in one request
Tool calling and structured JSON, for building agents
High-volume workloads where cost per reply matters

Not for

Generating images — it replies with text only
Speaking its replies aloud — no audio output
Fine-tuning on your own data — not supported

Also supports

Tool callingStructured JSONStep-by-step reasoningStreamingPrompt cachingFine-tuning

Where your request runs

You call one endpoint. Behind it, OpenDunes keeps every one of these live — if one degrades, the next takes the request without you changing a line.

Provider	In /M	Out /M	Cache /M	Latency	TPS	Uptime
Alibaba	63,18 DA	315,90 DA	12,64 DA	—	—	—

Routed through the Bifrost gateway · prices in Algerian Dinars per 1M tokens · you’re charged the price of the endpoint that served your request.

What it costs

Everyday jobs, priced. Each request charges exactly what it uses — no subscription, no minimum.

Answer a quick question≈ 0,06 DA

Reply to a customer email≈ 0,15 DA

Translate a full page of text≈ 0,19 DA

Write a one-page draft≈ 0,23 DA

Top up points

3 000 DA ≈ 13 375 typical replies · the exact charge appears after every request, down to the centime.

See it in action

Real requests, real replies. Try any of them yourself — one click, pre-filled.

Structured output

You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt

It replies

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

OpenAI-compatible — point any OpenAI SDK at our base URL and keep your code. Copy the request, or run it right here on your wallet.

EndpointPOST /v1/chat/completions

Base URL

https://opendunes.com/api/v1

Model id

qwen/qwen3-coder-flash

Shell

curl https://opendunes.com/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENDUNES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-coder-flash",
    "messages": [{"role": "user", "content": "In one sentence: why is the sky blue?"}]
  }'

The same request, in your language

Parameters you can send

Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.

Shaping the reply

How long, how varied, where to stop.

max_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltylogprobstop_logprobs

Structured output

Get JSON you can parse instead of prose.

response_format

Tools

Let the model call your functions.

toolstool_choice

Limits

The hard numbers — what it can take in, what it can give back, and where it stops.

Context window: 1M tokens
Max output: 65.5K tokens
Longest reply: ≈ 49.0K words
Tokenizer: Qwen3
Knowledge cutoff: 2025-06-30
Released: 2025-09-17

Full API reference

Questions about Qwen3 Coder Flash

How much does Qwen3 Coder Flash cost in Algerian Dinars?

63,18 DA for the text you send and 315,90 DA for the text it writes back. A typical exchange — a short question and a one-screen answer — costs about 0,22 DA. You pay for what you actually use: no subscription, no minimum.

How big is Qwen3 Coder Flash's context window?

Qwen3 Coder Flash reads up to 1M tokens in one request, and writes back up to roughly 49,000 words at once.

What can Qwen3 Coder Flash handle?

It reads text and replies with text. It also supports calling your own tools, replying in structured JSON and streaming its answer as it writes.

Can I use Qwen3 Coder Flash without an international bank card?

Yes. Top up your OpenDunes balance in dinars with a CIB or Edahabia card, then spend it on Qwen3 Coder Flash or any other model in the catalog from that same balance. No foreign card, no currency conversion, no subscription.

Who makes Qwen3 Coder Flash?

Qwen3 Coder Flash is built by Qwen, released on Sep 17, 2025. Its training data runs to 2025-06-30. OpenDunes serves it unchanged — same model, same weights, billed in dinars.

Other Qwen models, priced in dinars

See all Qwen models

Qwen: Qwen3.8 Flash

qwen/qwen3.8-flashText

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

by QwenAug 26, 20261M contextReasoningToolsJSON

TextImagesVideoText

in48,60 DAout152,28 DAper 1M tokens

by QwenAug 26, 20261M contextReasoningToolsJSON

Qwen: Qwen3.8 27B

qwen/qwen3.8-27bText

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

by QwenAug 14, 20261M contextReasoningToolsJSON

TextImagesVideoText

in137,70 DAout826,20 DAper 1M tokens

by QwenAug 14, 20261M contextReasoningToolsJSON

Qwen3 Reranker 8B

qwen/qwen3-reranker-8bRerank

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...

by QwenAug 13, 202641K contextJSON

TextRanking

in64,80 DAoutFreeper 1M tokens

by QwenAug 13, 202641K contextJSON

Qwen: Qwen3 ASR 1.7B

qwen/qwen3-asr-1.7bTranscription

Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference...

by QwenAug 13, 2026JSON

AudioText

2 430 DA/M input·0 DA/M output

by QwenAug 13, 2026JSON

Qwen: Qwen3 ASR 0.6B

qwen/qwen3-asr-0.6bTranscription

Qwen3 ASR 0.6B is a compact automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline...

by QwenAug 13, 2026JSON

AudioText

1 078,92 DA/M input·0 DA/M output

by QwenAug 13, 2026JSON

Qwen: Qwen3.8 2.4T A95B

qwen/qwen3.8-2.4t-a95bText

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...

by QwenAug 12, 20261M contextReasoningToolsJSON

TextText

in648 DAout1 944 DAper 1M tokens

by QwenAug 12, 20261M contextReasoningToolsJSON

Qwen: Qwen3.8 2.4T A95B (batch)

qwen/qwen3.8-2.4t-a95b:batchText

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...

by QwenAug 12, 20261M contextReasoningToolsJSON

TextText

in810 DAout2 025 DAper 1M tokens

by QwenAug 12, 20261M contextReasoningToolsJSON

Qwen: Qwen Image 3

qwen/qwen-image-3Image

Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world...

by QwenAug 5, 202666K contextJSON

TextImagesImages

9,72 DA / image

by QwenAug 5, 202666K contextJSON

What it can do

Real jobs this model can take on, based on what it can read and how it’s priced.

Run an agent that calls your own tools and replies in clean JSON

tool calling · structured output

Hold an entire codebase in one request and answer across it

1M-token context

Power a chat product at high volume, priced per reply

≈ 0,22 DA per typical reply

Good for

Very long documents — whole books or contract stacks in one request
Tool calling and structured JSON, for building agents
High-volume workloads where cost per reply matters

Not for

Generating images — it replies with text only
Speaking its replies aloud — no audio output
Fine-tuning on your own data — not supported

Also supports

Tool callingStructured JSONStep-by-step reasoningStreamingPrompt cachingFine-tuning

Where your request runs

You call one endpoint. Behind it, OpenDunes keeps every one of these live — if one degrades, the next takes the request without you changing a line.

Provider	In /M	Out /M	Cache /M	Latency	TPS	Uptime
Alibaba	63,18 DA	315,90 DA	12,64 DA	—	—	—

Routed through the Bifrost gateway · prices in Algerian Dinars per 1M tokens · you’re charged the price of the endpoint that served your request.

What it costs

Everyday jobs, priced. Each request charges exactly what it uses — no subscription, no minimum.

Answer a quick question≈ 0,06 DA

Reply to a customer email≈ 0,15 DA

Translate a full page of text≈ 0,19 DA

Write a one-page draft≈ 0,23 DA

Top up points

3 000 DA ≈ 13 375 typical replies · the exact charge appears after every request, down to the centime.

See it in action

Real requests, real replies. Try any of them yourself — one click, pre-filled.

Structured output

You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt

It replies

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

OpenAI-compatible — point any OpenAI SDK at our base URL and keep your code. Copy the request, or run it right here on your wallet.

EndpointPOST /v1/chat/completions

Base URL

https://opendunes.com/api/v1

Model id

qwen/qwen3-coder-flash

Shell

curl https://opendunes.com/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENDUNES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-coder-flash",
    "messages": [{"role": "user", "content": "In one sentence: why is the sky blue?"}]
  }'

The same request, in your language

Parameters you can send

Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.

Shaping the reply

How long, how varied, where to stop.

max_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltylogprobstop_logprobs

Structured output

Get JSON you can parse instead of prose.

response_format

Tools

Let the model call your functions.

toolstool_choice

Limits

The hard numbers — what it can take in, what it can give back, and where it stops.

Context window: 1M tokens
Max output: 65.5K tokens
Longest reply: ≈ 49.0K words
Tokenizer: Qwen3
Knowledge cutoff: 2025-06-30
Released: 2025-09-17

Full API reference

Questions about Qwen3 Coder Flash

How much does Qwen3 Coder Flash cost in Algerian Dinars?

How big is Qwen3 Coder Flash's context window?

Qwen3 Coder Flash reads up to 1M tokens in one request, and writes back up to roughly 49,000 words at once.

What can Qwen3 Coder Flash handle?

It reads text and replies with text. It also supports calling your own tools, replying in structured JSON and streaming its answer as it writes.

Can I use Qwen3 Coder Flash without an international bank card?

Who makes Qwen3 Coder Flash?

Qwen3 Coder Flash is built by Qwen, released on Sep 17, 2025. Its training data runs to 2025-06-30. OpenDunes serves it unchanged — same model, same weights, billed in dinars.

Other Qwen models, priced in dinars

See all Qwen models

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...

by QwenAug 13, 202641K contextJSON

TextRanking

in64,80 DAoutFreeper 1M tokens

by QwenAug 13, 202641K contextJSON

Qwen: Qwen3 ASR 1.7B

qwen/qwen3-asr-1.7bTranscription

by QwenAug 13, 2026JSON

AudioText

2 430 DA/M input·0 DA/M output

by QwenAug 13, 2026JSON

Qwen: Qwen3 ASR 0.6B

qwen/qwen3-asr-0.6bTranscription

by QwenAug 13, 2026JSON

AudioText

1 078,92 DA/M input·0 DA/M output

by QwenAug 13, 2026JSON

Qwen: Qwen3.8 2.4T A95B

qwen/qwen3.8-2.4t-a95bText

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...

by QwenAug 12, 20261M contextReasoningToolsJSON

TextText

in648 DAout1 944 DAper 1M tokens

by QwenAug 12, 20261M contextReasoningToolsJSON

Qwen: Qwen3.8 2.4T A95B (batch)

qwen/qwen3.8-2.4t-a95b:batchText

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...

by QwenAug 12, 20261M contextReasoningToolsJSON

TextText

in810 DAout2 025 DAper 1M tokens

by QwenAug 12, 20261M contextReasoningToolsJSON

Qwen: Qwen Image 3

qwen/qwen-image-3Image

Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world...

by QwenAug 5, 202666K contextJSON

TextImagesImages

9,72 DA / image

by QwenAug 5, 202666K contextJSON

Qwen: Qwen3 Coder Flash

What it can do

Good for

Not for

Also supports

Where your request runs

What it costs

See it in action

Call it in code

Pythonopenai SDK · pip install openai

JavaScriptopenai npm package · Node 18+

Goopenai-go · go get github.com/openai/openai-go

Parameters you can send

Limits

Questions about Qwen3 Coder Flash

How much does Qwen3 Coder Flash cost in Algerian Dinars?

How big is Qwen3 Coder Flash's context window?

What can Qwen3 Coder Flash handle?

Can I use Qwen3 Coder Flash without an international bank card?

Who makes Qwen3 Coder Flash?

Other Qwen models, priced in dinars

Qwen: Qwen3.8 Flash

Qwen: Qwen3.8 27B

Qwen3 Reranker 8B

Qwen: Qwen3 ASR 1.7B

Qwen: Qwen3 ASR 0.6B

Qwen: Qwen3.8 2.4T A95B

Qwen: Qwen3.8 2.4T A95B (batch)

Qwen: Qwen Image 3

Qwen: Qwen3 Coder Flash

What it can do

Good for

Not for

Also supports

Where your request runs

What it costs

See it in action

Call it in code

Pythonopenai SDK · pip install openai

JavaScriptopenai npm package · Node 18+

Goopenai-go · go get github.com/openai/openai-go

Parameters you can send

Limits

Questions about Qwen3 Coder Flash

How much does Qwen3 Coder Flash cost in Algerian Dinars?

How big is Qwen3 Coder Flash's context window?

What can Qwen3 Coder Flash handle?

Can I use Qwen3 Coder Flash without an international bank card?

Who makes Qwen3 Coder Flash?

Other Qwen models, priced in dinars

Qwen: Qwen3.8 Flash

Qwen: Qwen3.8 27B

Qwen3 Reranker 8B

Qwen: Qwen3 ASR 1.7B

Qwen: Qwen3 ASR 0.6B

Qwen: Qwen3.8 2.4T A95B

Qwen: Qwen3.8 2.4T A95B (batch)

Qwen: Qwen Image 3