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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.
ToolsModels

DeepSeek V4 Pro Max vs Qwen3.8 Max

DeepSeek V4 Pro Max2stats won
Tied0stats
Qwen3.8 Max4stats won
Spec showdown

Capacity, price, freshness.

DeepSeek V4 Pro MaxvsQwen3.8 Max

Qwen3.8 Max holds a narrow composite edge (72 vs 66), but the gap is small enough that other factors matter more. Qwen3.8 Max has the higher benchmark mix (72 vs 66). DeepSeek V4 Pro Max is significantly cheaper at $0.40/1M input vs $2.0/1M input. Qwen3.8 Max's 1M context window dwarfs DeepSeek V4 Pro Max's 256K — a meaningful difference for long-document or codebase work.

  1. Composite score
    DeepSeek V4 Pro Max66Qwen3.8 Max72Winner on this row
  2. Benchmark mix
    DeepSeek V4 Pro Max66Qwen3.8 Max72Winner on this row
  3. Context window
    DeepSeek V4 Pro Max256KQwen3.8 Max1MWinner on this row
  4. Max output
    DeepSeek V4 Pro Max66KWinner on this rowQwen3.8 Max—
  5. Input price / 1M (lower wins)
    DeepSeek V4 Pro Max$0.40Winner on this rowQwen3.8 Max$2.0
  6. Output speed (AA default API)
    DeepSeek V4 Pro Max—Qwen3.8 Max36 t/sWinner on this row
Composite score
66
vs
72Winner on this row
Benchmark mix
66
vs
72Winner on this row
Context window
256K
vs
1MWinner on this row
Max output
66KWinner on this row
vs
—
Input price / 1M (lower wins)
$0.40Winner on this row
vs
$2.0
Output speed (AA default API)
—
vs
36 t/sWinner on this row
Capability grid

What each model can do.

Modalities

DeepSeek V4 Pro MaxQwen3.8 Max
Text●●
Image—●
Audio——
Video——
Code●●
Tool use●●
Reasoning●●

Access

DeepSeek V4 Pro MaxQwen3.8 Max
API●●
Consumer app——
Open weights●—
Managed cloud●●
On-device——
Family profile

Top score per benchmark family.

Reasoning
76
vs
93Winner on this row
Benchmark ranks

Every shared benchmark, side by side.

Reasoning

GPQA Diamond#152/184 · #20/184
75.6%
vs
92.8%Winner on this row
Dossier facts

Dates, sources, fineprint.

DeepSeek V4 Pro MaxQwen3.8 Max
ProviderDeepSeekAlibaba
FamilyDeepSeekQwen
Release date2026-04-242026-08-03
Knowledge cutoff2026-02-01unpublished
Context window256K1M
Max output66K—
Input price /1M$0.40$2.0
Output price /1M$1.6$6.0
Statusflagshipflagship
Composite score6672
Intelligence score6672
Intel sourcecompositecomposite
Benchmark rows27
Source count21
Freshnessfreshfresh
Pricing checked2026-06-012026-09-28
Ecosystem

Which tools wrap each model.

Qwen3.8 Max

Not listed in any tool yet.

Verdict

Which model to actually pick.

Qwen3.8 Max holds a narrow composite edge (72 vs 66), but the gap is small enough that other factors matter more. Qwen3.8 Max has the higher benchmark mix (72 vs 66). DeepSeek V4 Pro Max is significantly cheaper at $0.40/1M input vs $2.0/1M input. Qwen3.8 Max's 1M context window dwarfs DeepSeek V4 Pro Max's 256K — a meaningful difference for long-document or codebase work.

Open DeepSeek V4 Pro Max's dossierOpen Qwen3.8 Max'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 DeepSeek V4 Pro Max or Qwen3.8 Max?

Qwen3.8 Max holds a narrow composite edge (72 vs 66), but the gap is small enough that other factors matter more. Qwen3.8 Max has the higher benchmark mix (72 vs 66). DeepSeek V4 Pro Max is significantly cheaper at $0.40/1M input vs $2.0/1M input. Qwen3.8 Max's 1M context window dwarfs DeepSeek V4 Pro Max's 256K — a meaningful difference for long-document or codebase work.

Is DeepSeek V4 Pro Max or Qwen3.8 Max cheaper?

DeepSeek V4 Pro Max: $0.40 / $1.6. Qwen3.8 Max: $2.0 / $6.0.

How do the DeepSeek V4 Pro Max and Qwen3.8 Max context windows compare?

DeepSeek V4 Pro Max: 256K. Qwen3.8 Max: 1M.