Skip to main content
Van Data Team

text model comparison

Qwen3.8-Flash-Next vs Qwen3.8-Max

Qwen3.8-Flash-Next and Qwen3.8-Max are both current text models, from Alibaba Qwen. On Arena WebDev, Qwen3.8-Flash-Next scores 1628 Elo and Qwen3.8-Max 1672 Elo (Arena, measured October 28, 2026). Qwen3.8-Max has the larger context window, 1,000,000 vs 262,144 tokens.

Higher Arena WebDev
Qwen3.8-Max1672 Elo against 1628 Elo
Longer context window
Qwen3.8-Max1M tokens against 262K tokens
Newer release
Qwen3.8-Flash-NextAug 2026 against Aug 2026

Data verified November 3, 2026 · Dataset 2026-11-03

Share this

Side by side

Qwen3.8-Flash-Next and Qwen3.8-Max, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactQwen3.8-Flash-NextQwen3.8-Max
Price
Price per 1M input tokensNot listed$2
Price per 1M output tokensNot listed$6
Independent benchmarks
Arena WebDev1628 Elo (#18 of 45)1672 Elo (#11 of 45) (better)
Arena TextNot measured1482 Elo (#13 of 51)
FrontierMath Tiers 1-3 (v2)Not measured74.7% (#20 of 42)
GPQA DiamondNot measured92.7% (#18 of 41)
SimpleQA VerifiedNot measured45.8% (#24 of 38)
Specs
ProviderAlibaba QwenAlibaba Qwen
Release dateAugust 26, 2026August 2, 2026
Accessopen weightsAPI only
Context window262,144 tokens1,000,000 tokens
Max outputNot reported131,072 tokens
Inputtext, image, videotext, image, video
Outputtexttext

Scores:Arena · 2026-11-03Epoch AI · 2026-11-03

Open both in the interactive comparison

Charts

Against every current text model

Where Qwen3.8-Flash-Next and Qwen3.8-Max land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

On Arena WebDev, Qwen3.8-Flash-Next ranks #18 and Qwen3.8-Max #11 of 45 current models. Each bar is the share of current models it beats: on score, price and context.

Qwen3.8-Flash-Next and Qwen3.8-Max among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

Qwen3.8-Flash-Next: Not scored

Qwen3.8-Max:#13of 51

1,482 Elo · ahead of 72%

Arena WebDev

Qwen3.8-Flash-Next:#18of 45

1,628 Elo · ahead of 61%

Qwen3.8-Max:#11of 45

1,672 Elo · ahead of 77%

FrontierMath Tiers 1-3 (v2)

Qwen3.8-Flash-Next: Not scored

Qwen3.8-Max:#20of 42

74.7% · ahead of 54%

GPQA Diamond

Qwen3.8-Flash-Next: Not scored

Qwen3.8-Max:#18of 41

92.7% · ahead of 55%

SimpleQA Verified

Qwen3.8-Flash-Next: Not scored

Qwen3.8-Max:#24of 38

45.8% · ahead of 38%

Price and context

Price per 1M input tokens

Qwen3.8-Flash-Next: Not listed

Qwen3.8-Max:#29of 52

$2 · cheaper than 24%

Price per 1M output tokens

Qwen3.8-Flash-Next: Not listed

Qwen3.8-Max:#28of 52

$6 · cheaper than 41%

Context window

Qwen3.8-Flash-Next:#55of 64

262K tokens · longer than 13%

Qwen3.8-Max:#26of 64

1M tokens · longer than 22%

Scores fromArena · 2026-11-03Epoch AI · 2026-11-03

Quality against price

Arena Text · measured October 28, 2026

Qwen3.8-Max scores 1,482 at $3 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.

Quality against priceArena Text score against price for 43 text models, Qwen3.8-Flash-Next and Qwen3.8-Max marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $3Median 1,475Blended price per 1M tokens (3 input : 1 output), log scaleArena Text (Elo)Qwen3.8-Max
Quality against price: the data
Arena Text score against price for 43 text models, Qwen3.8-Flash-Next and Qwen3.8-Max marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 ArgonGoogle$41,520
Claude Opus 5.5Anthropic$81,509
Muse WonderMeta$81,507
Claude Fable 5Anthropic$201,504
Claude Fable 5.1Anthropic$201,504
Gemini 3.8 FlashGoogle$1.501,496
Muse Spark 1.3Meta$21,495
Claude Opus 5Anthropic$101,492
Kimi K3Moonshot Kimi$61,488
GPT-5.6 SolOpenAI$81,485
Gemini 3.6 FlashGoogle$31,483
GPT-5.5OpenAI$111,482
Claude Opus 4.8Anthropic$101,482
Qwen3.8-MaxAlibaba Qwen$31,482
GPT-6.1 SolOpenAI$41,481
GLM-5.3Z.ai$2.151,481
MiMo-V2.6-ProXiaomi MiMo$0.541,480
Claude Sonnet 5.5Anthropic$41,477
GLM-5.3-FlashZ.ai$0.241,477
GPT-6 AstraOpenAI$201,476
DeepSeek-V4.1-FlashDeepSeek$0.521,476
GPT-5.4OpenAI$5.631,475
Gemini 3 Flash PreviewGoogle$1.131,473
Grok 4.20xAI$1.561,472
GPT-5.6 TerraOpenAI$4.501,467
Grok 4.5xAI$31,465
DeepSeek-V4-ProDeepSeek$1.981,465
Claude Sonnet 5Anthropic$41,462
GPT-6 SolOpenAI$41,458
Gemini 3.5 Flash-LiteGoogle$0.851,456
Grok 4.6xAI$31,455
GPT-5.6 LunaOpenAI$0.451,453
MiMo-V2.6-FlashXiaomi MiMo$0.181,448
Step 5 PreviewStepFun$1.431,448
Grok 4.3xAI$1.561,442
GPT-6 LunaOpenAI$0.201,441
Grok 4.7xAI$31,441
Mistral Large 4Mistral AI$1.051,432
Claude Haiku 5.5Anthropic$0.201,425
GPT-4.1OpenAI$3.501,415
Solar Pro 4Upstage$0.521,388
GPT-4.1 miniOpenAI$0.701,383
GPT-4.1 nanoOpenAI$0.181,322

Verdict

When to choose each

Qwen3.8-Flash-Next

Where it leads

  • Open weights you can run yourself

Best for

  • Self-hosted agentic coding on limited accelerator memory
  • Research on the Qwen4 architecture

Watch out for

  • Alibaba calls it experimental; the hosted qwen3.8-flash API is a different, production model
  • The Qwen Community License requires a separate licence before a model-as-a-service business uses it
  • Native context is 262,144 tokens; 1M needs YaRN scaling
Full Qwen3.8-Flash-Next profile

Qwen3.8-Max

Where it leads

  • Higher Arena WebDev score, 1672 Elo vs 1628 Elo
  • Larger context window 1,000,000 vs 262,144 tokens

Best for

  • Output-heavy generation workloads where the $6 per million output rate is the deciding factor
  • Agentic and coding evaluations that need a 1M-token window at mid-tier cost

Watch out for

  • Two releases share the name: the original 2 August 2026 model and the 0902 refresh, a separate id at the same price
  • The recorded rates are the international (Singapore) price; the Global and Beijing listings charge $1.65 input and $4.951 output per 1M tokens
  • Alibaba publishes no fixed cached-input rate for it
Full Qwen3.8-Max profile

From benchmark to production

Building on Qwen3.8-Flash-Next or Qwen3.8-Max?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150What the audit includes

Book the cost auditAI agent development

FAQ

Qwen3.8-Flash-Next vs Qwen3.8-Max FAQ

Which scores higher on independent benchmarks, Qwen3.8-Flash-Next or Qwen3.8-Max?

Qwen3.8-Max leads on Arena WebDev, 1672 Elo to 1628 Elo. Scores are independent evaluations, not either vendor's launch figures.

Which has the larger context window, Qwen3.8-Flash-Next or Qwen3.8-Max?

Qwen3.8-Max has the larger context window, 1,000,000 vs 262,144 tokens.

Can I run Qwen3.8-Flash-Next or Qwen3.8-Max myself?

Qwen3.8-Flash-Next is released as open weights you can run yourself; Qwen3.8-Max is available through its provider's API only.

Further reading

More on Qwen3.8-Flash-Next and Qwen3.8-Max

Related comparisons

Production evaluation

Choosing between Qwen3.8-Flash-Next and Qwen3.8-Max?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty
Compare all modelsBook a consultation