VerdictPal · editorial desk · updated 16 Oct 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.

Qwen3.8-Flash-Next vs Qwen3.8 27B

Qwen3.8-Flash-Next4stats won
Tied2stats
Qwen3.8 27B0stats won
Spec showdown

Capacity, price, freshness.

Qwen3.8-Flash-NextvsQwen3.8 27B

Composite scores are within 5 points — 68 for Qwen3.8-Flash-Next vs 66 for Qwen3.8 27B. The choice comes down to capability profile and price. Qwen3.8-Flash-Next has the higher benchmark mix (68 vs 66). Qwen3.8-Flash-Next is significantly cheaper at $0.15/1M input vs $0.50/1M input.

  1. Composite score
    Qwen3.8-Flash-Next68Winner on this rowQwen3.8 27B66
  2. Benchmark mix
    Qwen3.8-Flash-Next68Winner on this rowQwen3.8 27B66
  3. Context window
    Qwen3.8-Flash-Next262KQwen3.8 27B262K
  4. Max output
    Qwen3.8-Flash-Next—Qwen3.8 27B—
  5. Input price / 1M (lower wins)
    Qwen3.8-Flash-Next$0.15Winner on this rowQwen3.8 27B$0.50
  6. Output speed (AA default API)
    Qwen3.8-Flash-Next51 t/sWinner on this rowQwen3.8 27B46 t/s
Composite score
68Winner on this row
vs
66
Benchmark mix
68Winner on this row
vs
66
Context window
262K
vs
262K
Max output
—
vs
—
Input price / 1M (lower wins)
$0.15Winner on this row
vs
$0.50
Output speed (AA default API)
51 t/sWinner on this row
vs
46 t/s
Capability grid

What each model can do.

Modalities

Qwen3.8-Flash-NextQwen3.8 27B
Text●●
Image—●
Audio——
Video—●
Code●●
Tool use●●
Reasoning●●

Access

Qwen3.8-Flash-NextQwen3.8 27B
API●●
Consumer app——
Open weights●●
Managed cloud——
On-device——
Family profile

Top score per benchmark family.

Reasoning
92Winner on this row
vs
91
Coding
51Winner on this row
vs
47
Agentic
86Winner on this row
vs
80
Long context
80
vs
82Winner on this row
Benchmark ranks

Every shared benchmark, side by side.

Reasoning

GPQA Diamond#25/184 · #41/184
92.3%Winner on this row
vs
90.5%
Humanity's Last Exam#52/186 · #66/186
38%Winner on this row
vs
33.9%

Coding

SciCode#45/97 · #60/97
50.6%Winner on this row
vs
46.6%

Agentic

Terminal-Bench#12/167 · #26/167
86.14%Winner on this row
vs
79.78%

Long context

AA-LCR#47/184 · #24/184
79.67%
vs
82%Winner on this row

Performance

AA output speed#120/195 · #124/195
51 t/sWinner on this row
vs
46 t/s
Dossier facts

Dates, sources, fineprint.

Qwen3.8-Flash-NextQwen3.8 27B
ProviderAlibabaAlibaba
FamilyQwenQwen
Release date2026-08-262026-08-14
Knowledge cutoffunpublishedunpublished
Context window262K262K
Max output——
Input price /1M$0.15$0.50
Output price /1M$0.47$3.0
Statussolidsolid
Composite score6866
Intelligence score6866
Intel sourcecompositecomposite
Benchmark rows66
Source count11
Freshnessfreshfresh
Pricing checked2026-09-012026-08-24
Ecosystem

Which tools wrap each model.

Qwen3.8-Flash-Next

Not listed in any tool yet.

Qwen3.8 27B

Not listed in any tool yet.

Verdict

Which model to actually pick.

Composite scores are within 5 points — 68 for Qwen3.8-Flash-Next vs 66 for Qwen3.8 27B. The choice comes down to capability profile and price. Qwen3.8-Flash-Next has the higher benchmark mix (68 vs 66). Qwen3.8-Flash-Next is significantly cheaper at $0.15/1M input vs $0.50/1M input.

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-Flash-Next or Qwen3.8 27B?

Composite scores are within 5 points — 68 for Qwen3.8-Flash-Next vs 66 for Qwen3.8 27B. The choice comes down to capability profile and price. Qwen3.8-Flash-Next has the higher benchmark mix (68 vs 66). Qwen3.8-Flash-Next is significantly cheaper at $0.15/1M input vs $0.50/1M input.

Is Qwen3.8-Flash-Next or Qwen3.8 27B cheaper?

Qwen3.8-Flash-Next: $0.15 / $0.47. Qwen3.8 27B: $0.50 / $3.0.

How do the Qwen3.8-Flash-Next and Qwen3.8 27B context windows compare?

Qwen3.8-Flash-Next: 262K. Qwen3.8 27B: 262K.