modelbenchmark.io

Qwen3.8 Flash Next

Alibaba · qwen3-8-flash-next

Compare

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

Specification

most-agreed values

Context
262K
Max output
131K
Released
2026-08-27
Knowledge cutoff
—
Retires
—
Open weights
yes
Input
text, image, video
Output
text

Price

US dollars per million tokens · most-agreed

Input
$0.10
Output
$0.20
Cache read
$0.05
Cache write
$0.20

Quality

1 benchmark · 1 source

Composite
74th
percentile of 344 scored models
Rank
89 / 344
±0.56 sd
Evidence
1 × 1
too little evidence to place with confidence
Effort range
—
one configuration only
general59th1/1 bench

Every score

one row per source and configuration — nothing averaged away

BenchmarkScoreConfigurationSourceRun
LiveBench77.3default · 23 runsLiveBench2026-06-25

The leading figure for a benchmark is the median across its configurations, so one heroic high-effort run cannot set the number.

Available from 5 hosts

HostIn $/MOut $/MCache rdCache wrContextOutputRetires
amdfreefreefree—262K131K—
vultr$0.10$0.20——262K131K—
requesty$0.20$0.50$0.05$0.20262K262K—
tensorx$0.20$0.50$0.05—262K64K—
cortecs$0.201$0.50$0.05—262K64K—

Price history

append-only observations · a listing writes a row only when its price moves

DateHostField$/M
2026-09-02amdCache read$0.016
2026-10-22amdCache readfree
2026-09-02amdInput$0.15
2026-10-22amdInputfree
2026-09-02amdOutput$0.47
2026-10-22amdOutputfree

More from Alibaba

most-hosted first