QwenGeneralReleased 12 August 2026

Qwen3.8 2.4T A95B pricing, context and benchmark

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](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.

1.05M
Input context
131K
Output context
$2
Official input
$6
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelQwen3.8 2.4T A95B
Model IDqwen/qwen3.8-2.4t-a95b
ProviderQwen
Release date12 August 2026
StatusGenerally available
Input context1,048,576 tokens
Output context131,072 tokens
Official input pricing$2 per 1M tokens
Official output pricing$6 per 1M tokens
Cache read pricing$0.24 per 1M tokens (88% off input)
Market input pricing$2 per 1M (cheapest route)
Market output pricing$6 per 1M (cheapest route)
Input modalitiestext
Output modalitiestext
Reasoning controlNot exposed
Tool supportText generation only
TokenizerQwen
Provider routes4 endpoints
Artificial Analysis indexNot published
Speed40 tokens/s, 108.98s to first token
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$2 in
Imagenononot supported
Audionononot supported
Videonononot supported
File (PDF)nononot supported

What is Qwen3.8 2.4T A95B?

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](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.

It is...

Qwen3.8 2.4T A95B carries a 1.05M token window, uses the Qwen tokenizer and is served by Qwen. On Hoodgen it sits in the General tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released12 August 2026
PropertyQwen3.7 FlashQwen3.8 2.4T A95BChange
Released20262026Same release window
Context1M1.05MChanged
Max output66K131KChanged
Input price$0.03$2Higher
Output price$0.13$6Higher
Input modalitiestext, image, videotextUnchanged
AA indexn/an/aNewer benchmark run

Features and capabilities

⚡
Prompt caching
Cached input costs $0.24 per million instead of $2, so stable prefixes get cheaper.

What can you do with Qwen3.8 2.4T A95B?

Everyday writing
Drafts, rewrites, summaries and replies.
Research
Source material condensed with the key numbers kept.
Chat
General questions where latency and cost both matter.
Tooling inside Hoodgen
Writer, Humanizer, Coding and the rest of the tool suite.

Prompt caching and how to cut the bill

Cached input bills at $0.24 per million instead of $2, a 88% discount. Keep the system prompt and documents first and the changing question last, so every call hits the cache.

Qwen3.8 2.4T A95B pricing

Official pricing

List price
$2 / 1M in
$6 / 1M out
  • $0.24 cached input
  • 1.05M context
  • text input
Cheapest route
$2 / 1M in
$6 / 1M out
  • 4 routes on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Novitastandard$2$6$0.2599.9%
Alibabastandard$2$6$0.2599.8%
SiliconFlowstandard$2$6$0.25100.0%
Venicestandard$2$6$0.2586.4%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0280$14.0013300
List price$0.0279$13.9413244

API and developer information

Model IDqwen/qwen3.8-2.4t-a95b
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersprompt and max_tokens
StreamingYes, server sent events
Modality stringtext->text
Max prompt tokens1,048,576
Max completion tokens131,072
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.8-2.4t-a95b",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap131,072 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Qwen3.8 2.4T A95B vs other Qwen models

ModelContextInput /1MOutput /1MAA indexReleased
Qwen3.8 2.4T A95B1.05M$2$6n/a2026
Qwen3.8 Max Prime1M$4$12n/aSep 2026
Qwen3.8 Maxn/a$2$6342026
Qwen3.8 Max (0902)1M$2$6n/aSep 2026
Qwen3.7 Max1M$1.475$4.425n/a2026
Qwen3.7 Plus1M$0.32$1.28n/a2026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Qwen and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Qwen3.8 2.4T A95B questions, answered

Qwen3.8 2.4T A95B is a general model from Qwen, released 12 August 2026. 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](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.
✦

Start chatting with Qwen3.8 2.4T A95B

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.