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Qwen3.8 2.4T-A95B

qwenqwen/qwen3.8-2.4t-a95b

Alibaba Qwen's 2.4-trillion-parameter MoE with 95B active parameters. Same card as Qwen3.8 Max; 1M-token context.

Qwen3.8-2.4T-A95B is Alibaba's open-weight Qwen3.8 checkpoint exposed in TheRouter as qwen/qwen3.8-2.4t-a95b. Public model cards describe it as a sparse Mixture-of-Experts text model with 2.4 trillion total parameters, 95 billion active parameters, a 1M-token context window, and Apache 2.0 weights published for independent serving.

This is not the same product surface as the proprietary Qwen3.8-Max API. The open-weight A95B route is text-only in TheRouter, while Max keeps the multimodal and vendor-operated service layer. Use the page to decide whether the open-weight economics and deployment control outweigh the missing vision and managed-platform features.

Treat it as a high-capacity text route for coding agents, long-document analysis, private deployment planning, and cost-sensitive fallback lanes. TheRouter's live catalog remains the operational source for price, context, output limits, modalities, and accepted request parameters; this curated layer adds citations and routing guidance only.

Best for
  • β€’ Text-only coding, refactoring, and agent planning that need a 1M-token Qwen context without paying for multimodal Max features
  • β€’ Long-document synthesis, repository review, and research drafting where all inputs are text or pre-extracted text
  • β€’ Open-weight governance reviews where Apache 2.0 licensing and independent deployment options matter
  • β€’ Fallback lanes from Qwen3.8-Max when the request is text-only and the routing policy prioritizes unit cost
Reach for something else if
  • β€’ Image, video, OCR, or screenshot analysis; route those to qwen/qwen3.8-max or another configured vision model
  • β€’ Workloads that depend on vendor-managed built-in tools, batch jobs, or DashScope-specific Responses API features
  • β€’ Small, high-volume extraction where qwen/qwen3.8-27b or qwen/qwen3.6-flash can pass evals with lower latency and price
  • β€’ Strict managed-SLA deployments that require the proprietary Max service layer rather than open-weight serving assumptions

How TheRouter serves this differently from the vendor

As the vendor operates it

Alibaba publishes Qwen3.8-2.4T-A95B as an Apache 2.0 open-weight checkpoint and also lists a DashScope model ID with Qwen3.8 family serving behavior.

On TheRouter

TheRouter serves qwen/qwen3.8-2.4t-a95b as a text-only OpenAI-compatible chat model. Catalog price, context, output cap, and request parameters come from standard-models.yaml rather than the open-weight model cards.

Context Length
1M
Max Output
131K
Input Priceper 1M tokens
$2.16/ 1M tokens
Output Priceper 1M tokens
$6.48/ 1M tokens

Modalities

text→text

Pricing Breakdown

TypeRate
Input$2.16 / 1M tokens
Output$6.48 / 1M tokens

Supported Parameters

temperaturemax_tokenstop_ptoolstool_choiceresponse_formatstop

Specifications

ArchitectureSparse Mixture-of-Experts with 2.4 trillion total parameters and 95 billion active parametersmodelscope.cn β†—verified
LicenseApache 2.0huggingface.co β†—verified
Context window1,000,000 tokenshelp.aliyun.com β†—verified
Input and outputText input and text output in TheRouter's cataloggithub.com/therouter/ai-router β†—verified
TheRouter max completion131,072 tokens in standard-models.yamlgithub.com/therouter/ai-router β†—verified
TheRouter list pricing$2.16 input / $6.48 output per 1M tokens in the generated docs cataloggithub.com/therouter/ai-router β†—verified
Open-weight availabilityWeights are published on Hugging Face and ModelScope for independent deploymenthuggingface.co β†—verified

Benchmarks

BenchmarkDistributionScoreSource
Published A95B benchmark table
The reviewed public model cards document architecture, context, license, and serving assumptions, but this no-budget pass did not find an official benchmark table dedicated to the open-weight A95B checkpoint.
β€”Not publicly disclosedβ€”
Qwen3.8-Max family benchmarks
Alibaba reports Qwen3.8-Max benchmark scores for the managed Max service, but those should not be copied onto the open-weight A95B route without an explicit A95B benchmark ledger.
β€”Not publicly disclosedβ€”
TheRouter latency benchmark
No live latency or throughput benchmark was run because this scheduled pass had no budget. The absence is recorded rather than filled with vendor or aggregator numbers.
β€”Not publicly disclosedβ€”

API Usage Examples

Use the global api.therouter.ai endpoint shown below for new integrations; the legacy China accelerated endpoint is retired.

cURL
curl https://api.therouter.ai/v1/chat/completions   -H "Content-Type: application/json"   -H "Authorization: Bearer $THE_ROUTER_API_KEY"   -d '{
    "model": "qwen/qwen3.8-2.4t-a95b",
    "messages": [
      {"role": "user", "content": "Summarize the key points from this input."}
    ]
  }'

Chat completion

Use the standard OpenAI-compatible chat route with TheRouter's public model id for text-only requests.

cURL
curl https://api.therouter.ai/v1/chat/completions \
  -H "Authorization: Bearer $THEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-2.4t-a95b","messages":[{"role":"user","content":"Audit this migration plan and list the three riskiest assumptions."}]}'

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News & changes

2026-08-20

Qwen3.8 open-weight 2.4T-A95B vs Qwen3.8-Max: what changes for API routing

TheRouter comparison explains where the open-weight checkpoint saves cost and where the managed Max route still owns multimodal and vendor-service workloads.

re-authored by TheRoutertherouter.ai β†—
2026-08-05

Qwen3.8-Max becomes DashScope's top-tier model

The managed Max launch gives the open-weight A95B page useful contrast because the two routes share family branding but not the same product capabilities.

re-authored by TheRoutertherouter.ai β†—

Frequently asked

Is qwen/qwen3.8-2.4t-a95b open weight?

The underlying Qwen3.8-2.4T-A95B checkpoint is published under Apache 2.0. The TheRouter model id is still an API route, so data residency, serving region, and operational behavior depend on TheRouter's configured upstream provider.

How is A95B different from qwen/qwen3.8-max?

A95B is the open-weight text model route. qwen/qwen3.8-max is the managed Max API route with multimodal input and vendor-operated service features. Do not assume examples or benchmark claims for one transfer to the other without checking the source.

Can I send images to qwen/qwen3.8-2.4t-a95b through TheRouter?

No. TheRouter's catalog lists this route as text input and text output. Send image, video, OCR, or screenshot tasks to qwen/qwen3.8-max or another configured vision model instead.

Why is the snippets score not fully proven on this page?

This scheduled pass had no budget and did not run snippet verification. Until an operator explicitly funds and approves that ledger run, the snippets component should remain capped rather than being inferred from unexecuted examples.

Fact ledger β€” every claim on this page traces here
sourceURLretrieved
Architecturemodelscope.cn β†—2026-09-21verified
Licensehuggingface.co β†—2026-09-21verified
Context windowhelp.aliyun.com β†—2026-09-21verified
Input and outputgithub.com/therouter/ai-router β†—2026-09-21verified
TheRouter max completiongithub.com/therouter/ai-router β†—2026-09-21verified
TheRouter list pricinggithub.com/therouter/ai-router β†—2026-09-21verified
Open-weight availabilityhuggingface.co β†—2026-09-21verified
Published A95B benchmark tablemodelscope.cn β†—2026-09-21unknown
Qwen3.8-Max family benchmarksqwen.ai β†—2026-09-21unknown
TheRouter latency benchmarkgithub.com/therouter/ai-router β†—2026-09-21unknown
Qwen3.8 open-weight 2.4T-A95B vs Qwen3.8-Max: what changes for API routingtherouter.ai β†—2026-09-21verified
Qwen3.8-Max becomes DashScope's top-tier modeltherouter.ai β†—2026-09-21verified
Is qwen/qwen3.8-2.4t-a95b open weight?huggingface.co β†—2026-09-21to verify
How is A95B different from qwen/qwen3.8-max?therouter.ai β†—2026-09-21to verify
Can I send images to qwen/qwen3.8-2.4t-a95b through TheRouter?github.com/therouter/ai-router β†—2026-09-21to verify
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