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ModelCap

Qwen3.8 2.4T A95B

Official publisher releaseRestricted license

Qwen

Qwen3.8 2.4T A95B is a language model from Qwen. Its rank belongs to Qwen3.8 Max (0803), the model this route serves. It is listed at $2.00 per million input tokens and $6.00 per million output tokens across 4 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index
See primary model · Qwen3.8 Max (0803)
Route-specific operations remain below
Market Gravity
46.3
Secondary market signal

This separately configured or accelerated route is reviewed as the same underlying model identity as Qwen3.8 Max (0803). That canonical product owns rank and capability evidence; pricing, providers and other operational differences remain route-specific below.

Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
1M
tokens
Providers
4
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AlibabaCheapest$2.00$6.001M—100.0%
Novita$2.00$6.001M—100.0%
SiliconFlowfp8$2.00$6.001Mfp8100.0%
Venice$2.00$6.00262K—100.0%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$2.00$6.00262K292 ms64.5 tok/stools · structured
novita
live
$2.00$6.001M1942 ms33.1 tok/stools

Reported evaluation leads (9)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
allenai/IFBench_test
prompt_level_loose
—82.8
Unpinned
not published
Reported
Not used in launch estimate
cais/hle
hle
—43.6
Unpinned
not published
Reported
Not used in launch estimate
datacurve/deep-swe
deep_swe
—56.6
Unpinned
not published
Reported
Not used in launch estimate
harborframework/terminal-bench-2.1
terminalbench_2_1
—86.6
Unpinned
not published
Reported
Not used in launch estimate
hkust-nlp/Toolathlon
toolathlon_verified
—72.5
Unpinned
not published
Reported
Not used in launch estimate
Idavidrein/gpqa
diamond
—92.6
Unpinned
not published
Reported
Not used in launch estimate
internlm/WildClawBench
overall
—56.2
Unpinned
not published
Reported
Not used in launch estimate
internlm/WildClawBench
avg_time
—708
Unpinned
not published
Reported
Not used in launch estimate
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
—67.7
Unpinned
not published
Reported
Not used in launch estimate

Deployment readiness

Metadata index
74.0
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
100.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
46.3
OpenRouter weekly popularity
#112 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Market Gravity breakdown

Usage55%
19.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
99.1

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
72.0

Time since first public availability, on a six-month half-life.

Specification

Model ID
qwen/qwen3.8-2.4t-a95b
Context window
1M tokens
Declared output cap
131K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Tokenizer
Qwen
Cached input tokens
$0.25 / 1M
First seen on OpenRouter
12 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
207bd685a7e3
Parameters
2446.2B
Architecture
Qwen3_5MoeForCausalLM
Model type
qwen3_5_moe_text
Hugging Face downloads (30d)
27K
Downloads (all time)
115K
Likes
1K
Repository updated
12 Aug 2026, 10:24 UTC