VerdictPal · editorial desk · updated 18 Sep 2026VerdictPal

Compare · Two models, head-to-head

Pick two models. See the diff.

Composite scores, benchmark ranks, capability grids, and pricing per million tokens. All sourced from the same data that powers the model atlas.

Tools Models

Qwen3.8-Omni-Flash vs Qwen3.8-Flash-Next

Model A

Model B

MODEL A

Qwen3.8-Omni-Flash

Alibaba · Qwen

Composite 0Intel 00 rows0 sources

Alibaba's 17 Sep 2026 omnimodal Flash API model. Text, image, audio, and video in; text out. 1M context, 131K max output. International Model Studio list $0.15 / $0.47 per 1M tokens (cache-hit input $0.016). No AA Intelligence Index or Vals Index row as of 18 Sep 2026.

MODEL B

Qwen3.8-Flash-Next

Alibaba · Qwen

Composite 61Intel 429 rows1 sources

Alibaba's 26 Aug 2026 Flash-Next sibling in the Qwen3.8 line. Artificial Analysis Intelligence Index 55.8. AA hosted list $0.15 / $0.47 per 1M tokens — cheaper and faster than Qwen3.8 27B, below hosted Qwen3.8 Max.

Qwen3.8-Omni-Flash3stats won

Tied1stats

Qwen3.8-Flash-Next3stats won

Spec showdown

Capacity, price, freshness.

Qwen3.8-Omni-FlashvsQwen3.8-Flash-Next

Qwen3.8-Flash-Next leads on composite score (61 vs 0), with deeper benchmark coverage across more families. Qwen3.8-Omni-Flash's 1M context window dwarfs Qwen3.8-Flash-Next's 262K — a meaningful difference for long-document or codebase work.

Composite score
Qwen3.8-Omni-Flash0Qwen3.8-Flash-Next61Winner on this row
Intelligence (Vals/AA)
Qwen3.8-Omni-Flash0Qwen3.8-Flash-Next42Winner on this row
Context window
Qwen3.8-Omni-Flash1MWinner on this rowQwen3.8-Flash-Next262K
Max output
Qwen3.8-Omni-Flash131KWinner on this rowQwen3.8-Flash-Next—
Input price / 1M (lower wins)
Qwen3.8-Omni-Flash$0.15Qwen3.8-Flash-Next$0.15
Output speed (AA default API)
Qwen3.8-Omni-Flash—Qwen3.8-Flash-Next76 t/sWinner on this row
Time to first token (AA default API)
Qwen3.8-Omni-Flash—Winner on this rowQwen3.8-Flash-Next1.31s

Composite score

Intelligence (Vals/AA)

Context window

262K

Max output

131K

—

Input price / 1M (lower wins)

$0.15

Output speed (AA default API)

—

76 t/s

Time to first token (AA default API)

—

1.31s

Capability grid

What each model can do.

Modalities

Qwen3.8-Omni-FlashQwen3.8-Flash-Next

Text●●

Image●—

Audio●—

Video●—

Code●●

Tool use●●

Reasoning●●

Access

Qwen3.8-Omni-FlashQwen3.8-Flash-Next

API●●

Consumer app——

Open weights—●

Managed cloud●—

On-device——

Family profile

Top score per benchmark family.

No shared benchmark families between these two models.

Benchmark ranks

Every shared benchmark, side by side.

No shared benchmarks found between these two models.

Dossier facts

Dates, sources, fineprint.

Qwen3.8-Omni-FlashQwen3.8-Flash-Next

ProviderAlibabaAlibaba

FamilyQwenQwen

Release date2026-09-172026-08-26

Knowledge cutoffunpublishedunpublished

Context window1M262K

Max output131K—

Input price /1M$0.15$0.15

Output price /1M$0.47$0.47

Statussolidsolid

Composite score061

Intelligence score042

Intel sourcenoneaa

Benchmark rows09

Source count01

Freshnessstalefresh

Pricing checked2026-09-182026-09-01

Ecosystem

Which tools wrap each model.

Qwen3.8-Omni-Flash

Not listed in any tool yet.

Qwen3.8-Flash-Next

Not listed in any tool yet.

Verdict

Which model to actually pick.

Open Qwen3.8-Omni-Flash's dossier Open Qwen3.8-Flash-Next's dossier

Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use Qwen3.8-Omni-Flash or Qwen3.8-Flash-Next?

Is Qwen3.8-Omni-Flash or Qwen3.8-Flash-Next cheaper?

Qwen3.8-Omni-Flash: $0.15 / $0.47. Qwen3.8-Flash-Next: $0.15 / $0.47.

How do the Qwen3.8-Omni-Flash and Qwen3.8-Flash-Next context windows compare?

Qwen3.8-Omni-Flash: 1M. Qwen3.8-Flash-Next: 262K.