Singularity Logs

THE MODEL, IN DETAIL / alibaba

Qwen 3.8 27B

qwen/qwen3.8-27bOpen weightsReasoning

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

OpenRouter
Source-linked model intelligenceCatalog added 14 Aug 2026Specifications observed 16 Oct 2026

Overall agents

#40

Arena agent score

Context window

1M

235.9K max output tokens

Input price

$0.24

USD / million input tokens

Output price

$2.2

USD / million output tokens

Inference providers

20

20 provider routes observed

Measured output speed

—

No model-level measurement

01 / PERFORMANCE

A clearer view of capability.

Read the score, understand the context, and explore where this model sits among its peers.

Performance fingerprint

Individual published accuracy scores · not a composite index

At least three published accuracy scores are needed for this view.

In good company

Overall agents · Arena · official dataset

17.2
Anthropic
14.8
OpenAI
14.1
Anthropic
13.7
Google
13.7
OpenAI
12.5
Anthropic
11.2
OpenAI
9.2
Anthropic
8.4
Anthropic
7.4
OpenAI

54 models in the source cohort. Showing selected nearby models. Evaluation settings can differ.

Evidence, by task.

Coverage is not a capability score.

0published results
0 evaluation sources
ReasoningAwaiting evidence
CodingAwaiting evidence
MathematicsAwaiting evidence
VisionAwaiting evidence
AgenticAwaiting evidence
Long contextAwaiting evidence

Documented features, task evaluations, and preference rankings describe different things. Missing coverage does not imply a model cannot perform a task.

Explore our methodology

Where people rank it

Published rankings for this exact model or configuration. Each source keeps its original metric.

Overall agentsArena agent score · 14 Oct 2026#40-3.2%Confidence interval: -4–-2.4Agents for workTask-outcome score · 14 Oct 2026#32-0.6%Confidence interval: -2.3–1.2

02 / BENCHMARK EXPLORER

The numbers behind the model.

Original results, exact versions, and a direct path to the evidence behind every score.

0 published results

Percentage-based evaluations will appear here when published.

0 percentage-based evaluations. Each benchmark measures a different task; compare results within the same evaluation and protocol.

Artificial Analysis indices

Published in the OpenRouter catalog · source-defined index values

Coding Index68.1
Agentic Index45.8
Intelligence Index33.7

Catalog observation: 16 Oct 2026. Index versions and evaluation settings are not supplied in this feed. These are not Singularity composite scores.

Artificial Analysis

03 / COST & VALUE

Know what your workload costs.

Explore token prices, see where the spend goes, and model a workload of your own.

Input$0.24per million tokens
Output$2.2per million tokens
Cache read$0.05per million tokens
Cache write—per million tokens

Workload cost calculator

Change the numbers. See the trade-offs.

Token estimate only. Excludes cache writes, tools, and other provider fees. Actual token usage and provider limits vary.

Your estimated spend

1,000 requests · 11M tokens

$4.6estimated total
Uncached input$2.4
Cached input$0
Output$2.2
Per request$0.0046
Without cache discount$4.6
Estimated cache savings$0

04 / INFERENCE NETWORK

One model. Different ways to run it.

Compare inference routes by price, context, quantization, and reported availability.

20 providers · 20 routes
Provider routes for Qwen 3.8 27B, observed 16 Oct 2026
Provider / routeInput / MOutput / MCache / MContextOutput limitSpeedLatencyAvailability · 1dRates
TTenstorrentFP4$0.02$0.5$0.009262.1K65.5K——97.47%
DDarkbloomFP4$0.035$2.2$0.0175262.1K32.8K——99.75%
CChutesFP8$0.039$1.25$0.0039262.1K65.5K——99.79%
NNear AIFP8$0.04$1.35$0.018262.1K65.5K——99.72%
RRekaFP8$0.04$2.2$0.02262.1K235.9K——100%
DDekaLLMQuantization not disclosed$0.04$2.5$0.02262.1K235.9K——99.65%
IIonstreamFP8$0.0893$2.35$0.085262.1K65.5K——98.63%
DDeepInfraBF16$0.15$1.875$0.0375262.1K235.9K——98.47%
MModelRunFP4$0.2$2.5$0.09262.1K235.9K——100%
MMancer 2FP8$0.2$2.5—262.1K235.9K——99.84%
PPhalaQuantization not disclosed$0.2$2.5$0.051M262.1K——99.72%
WWaferFP8$0.2$6$0.199262.1K235.9K——100%
AAkashMLFP8$0.225$1.98$0.05262.1K131.1K——100%
PParasailFP8$0.24$2.2$0.05262.1K235.9K——100%
CCoreWeaveFP8$0.4$3$0.15262.1K235.9K——99.79%
NNovitaQuantization not disclosed$0.42$3$0.0851M131.1K——100%
AAlibabaQuantization not disclosed$0.425$2.55$0.0851M131.1K——99.12%
CCloudflareQuantization not disclosed$0.45$3.2$0.05262.1K235.9K——100%
VVeniceFP8$0.45$3.2—262.1K65.5K——100%
CCerebrasFP16$0.99$1.49$0.9965.5K32.8K——100%

Snapshot observed 16 Oct 2026. Speed and latency are the reported 30-minute median when available. This is a dated snapshot, not live monitoring.

Provider price comparison

USD per million tokens · input and output rates

InputOutput
Tenstorrentfp4
Input
$0.02
Output
$0.5
Darkbloomfp4
Input
$0.035
Output
$2.2
Chutesfp8
Input
$0.039
Output
$1.25
Near AIfp8
Input
$0.04
Output
$1.35
Rekafp8
Input
$0.04
Output
$2.2
DekaLLM
Input
$0.04
Output
$2.5
Ionstreamfp8
Input
$0.0893
Output
$2.35
DeepInfrabf16
Input
$0.15
Output
$1.875
ModelRunfp4
Input
$0.2
Output
$2.5
Mancer 2fp8
Input
$0.2
Output
$2.5

Reported availability

Provider availability over the selected observation window

Tenstorrent · FP497.47%
Darkbloom · FP499.75%
Chutes · FP899.79%
Near AI · FP899.72%
Reka · FP8100%
DekaLLM99.65%
Ionstream · FP898.63%
DeepInfra · BF1698.47%
ModelRun · FP4100%
Mancer 2 · FP899.84%

Output speed

Reported 30-minute p50 · tokens per second

No provider throughput measurements were returned in this snapshot.

Response latency

Reported 30-minute p50 · seconds

No provider latency measurements were returned in this snapshot.

Context by provider

Actual route limits can differ from the catalog maximum

Tenstorrent · FP4262.1K
Darkbloom · FP4262.1K
Chutes · FP8262.1K
Near AI · FP8262.1K
Reka · FP8262.1K
DekaLLM262.1K
Ionstream · FP8262.1K
DeepInfra · BF16262.1K
ModelRun · FP4262.1K
Mancer 2 · FP8262.1K

05 / CAPABILITIES & MODALITIES

What goes in. What comes out.

A map of documented interfaces and API features, separate from benchmark performance.

INPUT MODALITIES

TextImageVideo
Qwen 3.8 27BReasoning supported

OUTPUT MODALITIES

Text

Feature support

Listed catalog API parameters and documented pricing features

ReasoningSupported
Tool callingSupported
Tool choiceSupported
Structured outputsSupported
Response formatSupported
Reasoning detailsSupported
Seed controlSupported
Stop sequencesSupported
Prompt cachingSupported
TemperatureSupported

Room to work

Context capacity and completion limits

1Mtotal context tokens
Context window
235.9Kmax output

Output tokens share the total context budget. The maximum completion length is a separate limit, and individual provider routes may have smaller limits.

Catalog context
1,000,000 tokens
Maximum output
235,929 tokens
Top-provider context
262,144 tokens

Features vary by route

Check the provider before depending on a specific API feature.

API feature support by provider
Provider routeReasoningToolsStructured outputResponse formatImplicit caching
Tenstorrent · FP4SupportedSupportedNot listedNot listedSupported
Darkbloom · FP4SupportedSupportedSupportedSupportedSupported
Chutes · FP8SupportedSupportedSupportedSupportedSupported
Near AI · FP8SupportedSupportedSupportedSupportedSupported
Reka · FP8SupportedSupportedSupportedSupportedSupported
DekaLLMSupportedSupportedSupportedSupportedSupported
Ionstream · FP8SupportedSupportedSupportedSupportedSupported
DeepInfra · BF16SupportedSupportedSupportedSupportedSupported
ModelRun · FP4SupportedSupportedSupportedSupportedSupported
Mancer 2 · FP8SupportedSupportedSupportedSupportedNot listed
PhalaSupportedSupportedSupportedSupportedSupported
Wafer · FP8SupportedSupportedSupportedSupportedSupported
AkashML · FP8SupportedSupportedSupportedSupportedSupported
Parasail · FP8SupportedSupportedSupportedSupportedSupported
CoreWeave · FP8SupportedSupportedSupportedSupportedSupported
NovitaSupportedSupportedNot listedSupportedSupported
AlibabaSupportedSupportedNot listedSupportedNot listed
CloudflareSupportedSupportedSupportedSupportedSupported
Venice · FP8SupportedSupportedSupportedSupportedNot listed
Cerebras · FP16SupportedSupportedNot listedNot listedSupported

06 / UNDER THE HOOD

The complete specification sheet.

Exact identities, model architecture, limits, and the defaults that shape a request.

Identity & architecture

Developer
alibaba
Exact identity
Qwen 3.8 27B
Subject
Agent System
Access
Open weights
License
Apache 2.0
Parameters
Not disclosed
Tokenizer
Qwen
Instruction format
Not disclosed

Reasoning & controls

Reasoning
Supported
Mandatory reasoning
No
Reasoning by default
Enabled
Published configuration
Not disclosed
Supported reasoning efforts
xhigh, medium, low, none
Default reasoning effort
xhigh
API parameters
21
Provider moderation
No
Quantization variants
fp4, fp8, bf16, fp16

Dates & limits

Catalog added
14 Aug 2026
Knowledge cutoff
Not disclosed
Catalog expiration
Not documented
Specifications observed
16 Oct 2026
Providers observed
16 Oct 2026
Request limits
Provider-specific / not supplied
Canonical catalog ID
qwen/qwen3.8-27b-20260814

API parameters & defaults

Availability is catalog-wide. Defaults can vary across providers.

frequency_penaltySupported · default not supplied
include_reasoningSupported · default not supplied
logit_biasSupported · default not supplied
logprobsSupported · default not supplied
max_tokensSupported · default not supplied
min_pSupported · default not supplied
presence_penaltySupported · default not supplied
reasoningSupported · default not supplied
reasoning_effortSupported · default not supplied
repetition_penaltySupported · default not supplied
response_formatSupported · default not supplied
seedSupported · default not supplied
stopSupported · default not supplied
structured_outputsSupported · default not supplied
temperatureDefault: 1
tool_choiceSupported · default not supplied
toolsSupported · default not supplied
top_aSupported · default not supplied
top_kDefault: 20
top_logprobsSupported · default not supplied
top_pDefault: 0.95

07 / BUILD WITH THIS MODEL

From exploration to your first request.

Use the documented catalog identifier and keep your API key in an environment variable.

Make an API request

const response = await fetch(
  "https://openrouter.ai/api/v1/chat/completions",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      "model": "qwen/qwen3.8-27b",
      "messages": [
        {
          "role": "user",
          "content": "Explain the trade-offs in this design."
        }
      ]
    }),
  },
);
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
console.log(data.choices[0].message.content);

08 / PROVENANCE & HISTORY

Every number has a story.

Follow the source, check the observation date, and distinguish published results from model specifications.

The observation trail

Recorded events, in chronological order

Added to the model catalog

Catalog creation date, as recorded by OpenRouter.

Model specifications observed

Catalog pricing, limits, and supported parameters captured.

Provider routes observed

20 inference routes in this snapshot.

Observation dates describe when data was captured. They do not represent newly run evaluations or continuous performance monitoring.

Published observation ledger

Historical evidence, with source and version preserved.

No published benchmark observations for this selection. Published preference rankings appear separately above.

09 / A FEW MORE DETAILS

Questions worth asking.

Quick answers, drawn from this model’s connected specifications.

How much does Qwen 3.8 27B cost?

Catalog starting rates are $0.24 per million input tokens and $2.2 per million output tokens. Cache-read pricing is $0.05 per million tokens. Compare provider routes and service tiers above for their specific prices.

How much context can it handle?

1,000,000 tokens in the catalog context window. The catalog lists a maximum of 235,929 completion tokens. Provider limits can differ.

Does it support tools and structured output?

Tool calling: listed as supported. Structured outputs: listed as supported. See the provider feature matrix for route-specific differences.

How should I interpret these benchmark results?

Read the benchmark name, exact version, metric, source, and model configuration together. Different evaluation settings can change the result. Preference ratings and source-defined composite indices remain separate from task accuracy.

Are these prices and provider measurements live?

This page uses dated source snapshots. Catalog data was observed on 16 Oct 2026. Provider routes were observed on 16 Oct 2026. Missing measurements are not estimated or treated as zero.

KEEP EXPLORING

More from alibaba.

Explore related identities from the same developer, or take them into a side-by-side comparison.

THE RIGHT MODEL STARTS WITH THE RIGHT CONTEXT.

Put the details side by side.

Explore the trade-offs in a direct model comparison.

Compare Qwen 3.8 27B
Source-backed evidence. Different tasks. A clearer picture.
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Qwen 3.8 27B — Singularity Logs