How much does Qwen3.8 2.4T A95B cost?

Qwen3.8 2.4T A95B costs $2.00/M input tokens and $6.00/M output tokens, with separate rates for Cache Read at $0.25/M tokens.

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

Qwen3.8 2.4T A95B has a 1,048,576 token context window. It supports up to 131,072 completion tokens.

Does Qwen3.8 2.4T A95B support tool calling and structured outputs?

Yes. Qwen3.8 2.4T A95B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Qwen3.8 2.4T A95B?

Qwen3.8 2.4T A95B is served by 4 providers on OpenRouter: NovitaAI, Alibaba Cloud Int., SiliconFlow, and Venice. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Qwen3.8 2.4T A95B released?

Qwen3.8 2.4T A95B was released on August 12, 2026.

Qwen: Qwen3.8 2.4T A95B

qwen/qwen3.8-2.4t-a95b

Model weights

Compare

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 suited for coding, research, complex reasoning, and agentic workflows.

Modalities

In / out price

$2 / $6per 1M

Context

1.0M

Released

Aug 12, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$2.00	$6.00	$0.25	--	--	3.25s	32 tok/s	99.96%
	$2.00	$6.00	$0.25	--	--	3.01s	31 tok/s	99.95%
	$2.00	$6.00	$0.25	$2.50	$0.17	1.64s	30 tok/s	99.91%
20% off	$2.50$2.00	$7.50$6.00	$0.3125$0.25	--	--	1.00s	128 tok/s	91.42%

Input $2.00Output $6.00
32 tok/s99.96% uptime
Input $2.00Output $6.00
31 tok/s99.95% uptime
Input $2.00Output $6.00
30 tok/s99.91% uptime
Input $2.00Output $6.00
20% off
128 tok/s91.42% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.6833/M tokens

Output

$6/M tokens

Qwen3.8 2.4T A95B — Price history

Price history

No effective price data for this selection

$0.473	$6.00	87.3%	40.8%
$0.748	$6.00	71.6%	1.6%
$0.761	$6.00	70.8%	46.3%
$1.264	$6.00	42.0%	11.2%

Effective in $0.473Effective out $6.00
Token share
40.8%
Effective in $0.748Effective out $6.00
Token share
1.6%
Effective in $0.761Effective out $6.00
Token share
46.3%
Effective in $1.264Effective out $6.00
Token share
11.2%

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Throughput

128tok/s

P50, best across providers

Latency

1.00s

P50, best provider

Reasoning effortLatency / throughput

AutoExacto benchmarks

GPQA DiamondTAU-BenchAlibaba Cloud Int.87.0%76.8%Venice91.2%72.6%Together87.0%75.8%SiliconFlow85.4%76.3%auto-routing88.8%72.6%

+1 more providers

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.91%

Availability over the last 3 days

Last 72 hours

Availability 99.91%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.92%

Without Routing

90.06%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3.8 2.4T A95B (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Qwen3.8 2.4T A95B Coding Index	71.9
Artificial Analysis	Qwen3.8 2.4T A95B Agentic Index	50.1
Artificial Analysis	Qwen3.8 2.4T A95B GPQA Diamond	93.5%
Artificial Analysis	Qwen3.8 2.4T A95B HLE	42.4%
Artificial Analysis	Qwen3.8 2.4T A95B AA-LCR	80.3%
Artificial Analysis	Qwen3.8 2.4T A95B τ-Bench Banking	49.1%
Artificial Analysis	Qwen3.8 2.4T A95B GDPval-AA	55.7%
Artificial Analysis	Qwen3.8 2.4T A95B CritPt	20.0%
Artificial Analysis	Qwen3.8 2.4T A95B SciCode	54.1%
Artificial Analysis	Qwen3.8 2.4T A95B Terminal-Bench 4.0	11.1%
Artificial Analysis	Qwen3.8 2.4T A95B Terminal-Bench 2.1	82.0%
Artificial Analysis	Qwen3.8 2.4T A95B AA-Omniscience Accuracy	31.4%
Artificial Analysis	Qwen3.8 2.4T A95B AA-Omniscience Non-Hallucination Rate	65.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Codex

A coding agent that helps you build and ship with AI

13.2Btokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

7.57Btokens

omp

new

2.08Btokens

Kilo Code

Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.

1.7Btokens

There are many coding agents, but this one is yours.

1.25Btokens

Rest of OpenRouter

942M

Top 5 Apps

12M

Not currently available through EU in-region routing. In-region routing docs

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Qwen: Qwen3.8 2.4T A95B

Providers