Qwen

Qwen3.8 2.4T A95B

Tool callingStructured outputReasoning
Qwen3.8 2.4T A95B model card cover

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

Context
1.0M
Released
2mo ago
Parameters
2.4T
Input / 1M tokens
$2.00
Output / 1M tokens
$6.00
Cached input / 1M tokens
$0.25

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer
Qwen
Model family
Qwen
Type
Language model
Predecessor
—
Successor
—
Released
August 12, 2026
Model ID
qwen/qwen3.8-2.4t-a95b
Openness
Open weights
License
qwen3.8-max
Parameters
2.4T
Input modalities
text
Output modalities
text
Modality
text->text
Tokenizer
Qwen
Max output tokens
131K
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
alibaba/qwen3.8-2.4t-a95b
Source family
qwen
Last updated
2026-08-12
Model context
262K
Model output limit
131K
Open weights
Yes
File attachments
No
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Downloadable weights

Complete source record (JSON)
{
  "id": "alibaba/qwen3.8-2.4t-a95b",
  "name": "Qwen3.8 2.4T A95B",
  "description": "Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows",
  "family": "qwen",
  "last_updated": "2026-08-12",
  "attachment": false,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 262144,
    "output": 131072
  },
  "release_date": "2026-08-12",
  "open_weights": true,
  "license": "qwen3.8-max",
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Alibabaalibaba1M$2.00$6.00$0.25$2.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Novitanovita1M$2.00$6.00$0.25—99.91%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SiliconFlowsiliconflow/fp81.0M$2.00$6.00$0.25—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Togethertogether1.0M$2.00$6.00$0.25—99.30%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Venicevenice262K$2.00$6.00$0.25—95.69%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

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