Qwen3.8 2.4T A95BWork with me

Qwen3.8 2.4T A95B

byQwen

Qwen3.8 2.4T A95B is a reasoning model from Qwen released on Aug 12, 2026. It reads text and writes text, with a 1.05M token context window and up to 131K tokens per reply.

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It costs $2 per million input tokens and $6 per million output tokens. Cached input bills at $0.25, 88% less than fresh input.

It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.

21 providers serve it, including Fireworks AI, Novita AI and SiliconFlow. The lowest input price is $1.95 per million tokens at IteraCompute.

On the Artificial Analysis Intelligence Index it scores 39.9, which places it at number 15 among the 43 models I track with independent scores.

Modalities
In / out price
$2 / $6 per 1M
Context
1.05M
Max output
131K
Released
Aug 12, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Qwen3.8 2.4T A95B pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$2 / 1M tokens
Output$6 / 1M tokens
Cached input (read)$0.25 / 1M tokens

Qwen3.8 2.4T A95B providers

21 providers serve it, including Fireworks AI, Novita AI and SiliconFlow. The lowest input price is $1.95 per million tokens at IteraCompute. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Fireworks AI$2$6$0.25262K131K
Novita AI$2$6$0.251M131K
SiliconFlow$2$6$0.251.05M131K
Vercel AI Gateway$2$6$0.25262K128K
Hugging Face$2.50$6.25–262K131K
IteraCompute$1.95$5.95$0.20970K131K
AIHubMix$2$6$0.50262K262K
Charm Hyper$2$6$0.251M128K
DevPass (LLM Gateway)$2$6$0.251.01M131K
Eden AI$2$6$0.251M131K
Kilo Gateway$2$6$0.251M131K
LLM Gateway$2$6$0.251M131K

Showing 12 of 21 providers: the lab first, then the major clouds, then the cheapest resellers.

What Qwen3.8 2.4T A95B costs per month

Pick a workload close to yours or type your own volumes.

Qwen3.8 2.4T A95B per month
$134
Without caching
$213
Per request
$0.0045

Independent benchmarks

Measured by third parties, not reported by Qwen. Each links to its source and shows the date I checked it.

Supported request parameters

What you can set when you call Qwen3.8 2.4T A95B through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Qwen3.8 2.4T A95B

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All Qwen models

Qwen3.8 2.4T A95B questions

How much does the Qwen3.8 2.4T A95B API cost?

$2 per million input tokens and $6 per million output tokens, with cached input at $0.25. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Qwen3.8 2.4T A95B?

1,049,000 tokens of input, and it can write up to 131,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Qwen3.8 2.4T A95B?

21 providers serve it, including Fireworks AI, Novita AI and SiliconFlow. The lowest input price is $1.95 per million tokens at IteraCompute. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Qwen3.8 2.4T A95B support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Qwen3.8 2.4T A95B open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was Qwen3.8 2.4T A95B released?

Aug 12, 2026.

How good is Qwen3.8 2.4T A95B compared with other models?

It scores 39.9 on the Artificial Analysis Intelligence Index. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.

Building on Qwen3.8 2.4T A95B?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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