# Qwen3.8 27B

Qwen3.8 27B is a text generation model from Qwen, available through the Impossibl API. Its published context window is 1,048,576 tokens. The advertised input rate is $0.50 per million input tokens. The advertised output rate is $3.00 per million output tokens.

- Model identifier: ` qwen/qwen3.8-27b `
- Creator: Qwen
- Model type: Text generation
- Canonical model page: [Qwen3.8 27B](<https://impossibl.com/qwen/qwen3.8-27b>)
- API availability: Listed as serving through Impossibl.
- Creator release date: 2026-08-14

## Capabilities and limits

- Context window: 1,048,576 tokens
- Maximum output tokens: Not published in the public catalog; this is separate from the context window.
- Inputs: text, image
- Outputs: text
- Tool calling: Not published

## API access

Use ` qwen/qwen3.8-27b ` as the model identifier through the Impossibl API.

Published API endpoints:

- ` /v1/chat/completions `

[API quickstart](<https://impossibl.com/docs/agent-quickstart>) · [Models and billing documentation](<https://impossibl.com/docs/models>)

## Published API prices

All rates are in USD. An unpublished rate is unknown, not zero. Workspace-specific pricing, taxes, balance-purchase fees, billing adjustments, and tool charges can affect the amount paid.

| Usage | Published base rate | Billing unit |
| --- | --- | --- |
| Input | $0.50 | per million input tokens |
| Output | $3.00 | per million output tokens |
| Cache read | $0.10 | per million cached input tokens |
| Cache write (default retention) | Not published | per million tokens |
| Cache write (one-hour retention) | Not published | per million tokens |
| Audio input | Not published | per million audio input tokens |

## Independent benchmarks

Source: [Artificial Analysis](<https://artificialanalysis.ai/>). Last checked: 2026-09-11T12:23:22.823Z.
Configurations are evaluated separately. API scores retain their original units. Unmeasured scores are omitted.

### Qwen3.8 27B (xhigh)

Source: [Evaluation source](<https://artificialanalysis.ai/models/qwen3-8-27b>)

| Benchmark | Score |
| --- | --- |
| Intelligence Index | 33.90 |
| Omniscience Index | -9.98 |
| GPQA | 90.51% |
| Humanity’s Last Exam | 33.92% |
| SciCode | 46.64% |
| CritPt | 5.43% |
| Terminal-Bench v2.1 | 79.78% |
| Terminal-Bench v4.0 | 5.56% |
| AA-LCR | 82.00% |
| Multilingual LCR | 21.67% |
| GDPval Elo | 1463.25 |
| GDP.pdf All-pass | 16.40% |
| AutomationBench Partial | 48.24% |
| MMMU-Pro | 76.30% |
| Tau Banking | 48.04% |
| coding index (API) | 68.1 |
| agentic index (API) | 46.5 |
| intelligence index (API) | 33.9 |

### Qwen3.8 27B (low)

Source: [Evaluation source](<https://artificialanalysis.ai/models/qwen3-8-27b-low>)

| Benchmark | Score |
| --- | --- |
| Intelligence Index | 26.49 |
| Omniscience Index | -26.67 |
| GPQA | 84.55% |
| Humanity’s Last Exam | 14.04% |
| SciCode | 40.05% |
| CritPt | 0.00% |
| Terminal-Bench v2.1 | 67.42% |
| Terminal-Bench v4.0 | 2.53% |
| AA-LCR | 77.33% |
| GDPval Elo | 1402.54 |
| GDP.pdf All-pass | 10.40% |
| AutomationBench Partial | 30.10% |
| MMMU-Pro | 73.76% |
| Tau Banking | 32.16% |
| coding index (API) | 58.2 |
| agentic index (API) | 39.9 |
| intelligence index (API) | 26.5 |

### Qwen3.8 27B (medium)

Source: [Evaluation source](<https://artificialanalysis.ai/models/qwen3-8-27b-medium>)

| Benchmark | Score |
| --- | --- |
| Intelligence Index | 27.81 |
| Omniscience Index | -36.15 |
| GPQA | 84.55% |
| Humanity’s Last Exam | 14.09% |
| SciCode | 39.00% |
| CritPt | 0.00% |
| Terminal-Bench v2.1 | 65.17% |
| Terminal-Bench v4.0 | 5.05% |
| AA-LCR | 79.67% |
| GDPval Elo | 1430.39 |
| GDP.pdf All-pass | 12.80% |
| AutomationBench Partial | 40.25% |
| MMMU-Pro | 74.16% |
| Tau Banking | 47.42% |
| coding index (API) | 56.1 |
| agentic index (API) | 45.3 |
| intelligence index (API) | 27.8 |

### Qwen3.8 27B (Non-reasoning)

Source: [Evaluation source](<https://artificialanalysis.ai/models/qwen3-8-27b-non-reasoning>)

| Benchmark | Score |
| --- | --- |
| Intelligence Index | 22.42 |
| Omniscience Index | -7.95 |
| GPQA | 81.82% |
| Humanity’s Last Exam | 12.14% |
| SciCode | 36.23% |
| CritPt | 0.29% |
| Terminal-Bench v2.1 | 49.06% |
| AA-LCR | 69.33% |
| GDPval Elo | 1136.81 |
| MMMU-Pro | 69.94% |
| Tau Banking | 20.00% |
| coding index (API) | 44.6 |
| intelligence index (API) | 22.4 |

Full benchmark data and breakdowns: [Complete benchmark snapshot](<https://api.impossibl.com/v1/models/qwen/qwen3.8-27b/benchmarks>).


## Availability and retirement

The model is listed as serving. No retirement is announced in the current public catalog.

## Frequently asked questions

### What is Qwen3.8 27B?

Qwen3.8 27B is a text-generation model from Qwen, available through the Impossibl API.

### How much does Qwen3.8 27B cost?

Qwen3.8 27B costs $0.50 per million input tokens and $3.00 per million output tokens through the Impossibl API. Cache reads cost $0.10 per million tokens. All rates are in USD.

### What is the context length of Qwen3.8 27B?

Qwen3.8 27B has a 1,048,576-token context window through the Impossibl API.

### What inputs and outputs does Qwen3.8 27B support?

Qwen3.8 27B accepts text and image as input. Qwen3.8 27B returns text.

### How do I use Qwen3.8 27B through an API?

Qwen3.8 27B is available through the Impossibl API. Use qwen/qwen3.8-27b as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

### When was Qwen3.8 27B released?

Qwen released Qwen3.8 27B on August 14, 2026.

Sources: [Creator release announcement](<https://github.com/QwenLM/Qwen3.8/blob/main/README.md>)

## Sources and related links

Prices, limits, capabilities, endpoints, and availability come from the public Impossibl catalog. Creator documentation supplies descriptions and release dates where available; it does not override the published API offering.

- [Public Impossibl model catalog](<https://api.impossibl.com/v1/models>)
- [Full model directory as JSON](<https://impossibl.com/models.json>)
- [Qwen3.8 27B: model details and pricing](<https://impossibl.com/qwen/qwen3.8-27b>)
- [Model directory](<https://impossibl.com/models>)
