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text model comparison

Hy4 vs Qwen3.8-Max

Hy4 and Qwen3.8-Max are both current text models, from Tencent and Alibaba Qwen. Hy4 is 58% cheaper per 1M input tokens than Qwen3.8-Max, $0.834 vs $2.

Lower price per 1M input tokens
Hy4$0.834 against $2
Newer release
Hy4Nov 2026 against Aug 2026

Data verified November 5, 2026 · Dataset 2026-11-05

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Side by side

Hy4 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.

FactHy4Qwen3.8-Max
Price
Price per 1M input tokens$0.834 (better)$2
Price per 1M output tokens$2.501 (better)$6
Independent benchmarks
Arena TextNot measured1482 Elo (#14 of 52)
Arena WebDevNot measured1672 Elo (#12 of 46)
GPQA DiamondNot measured92.7% (#18 of 41)
FrontierMath Tiers 1-3 (v2)Not measured74.7% (#20 of 41)
SimpleQA VerifiedNot measured45.8% (#24 of 38)
Specs
ProviderTencentAlibaba Qwen
Release dateNovember 4, 2026August 2, 2026
AccessAPI onlyAPI only
Context windowNot reported1,000,000 tokens
Max outputNot reported131,072 tokens
Inputtext, imagetext, image, video
Outputtexttext

No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.

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

Charts

Against every current text model

Where Hy4 and Qwen3.8-Max land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

Only Qwen3.8-Max has a current Arena Text score: #14 of 52. Each bar is the share of current models it beats.

Hy4 and Qwen3.8-Max among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

Hy4: Not scored

Qwen3.8-Max:#14of 52

1,482 Elo · ahead of 71%

Arena WebDev

Hy4: Not scored

Qwen3.8-Max:#12of 46

1,672 Elo · ahead of 76%

GPQA Diamond

Hy4: Not scored

Qwen3.8-Max:#18of 41

92.7% · ahead of 55%

FrontierMath Tiers 1-3 (v2)

Hy4: Not scored

Qwen3.8-Max:#20of 41

74.7% · ahead of 53%

SimpleQA Verified

Hy4: Not scored

Qwen3.8-Max:#24of 38

45.8% · ahead of 38%

Price and context

Price per 1M input tokens

Hy4:#21of 55

$0.834 · cheaper than 63%

Qwen3.8-Max:#30of 55

$2 · cheaper than 24%

Price per 1M output tokens

Hy4:#20of 55

$2.501 · cheaper than 65%

Qwen3.8-Max:#29of 55

$6 · cheaper than 43%

Context window

Hy4: Not listed

Qwen3.8-Max:#26of 64

1M tokens · longer than 22%

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 44 text models, Hy4 and Qwen3.8-Max marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $3Median 1,476Blended 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 44 text models, Hy4 and Qwen3.8-Max marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 CarbonGoogle$41,528
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

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

For 10M input and 2M output tokens, Qwen3.8-Max costs 2.4 times as much as Hy4, at each provider's listed rates.

What Hy4 and Qwen3.8-Max cost for the same work, at the rates each provider lists.
  • 10M input and 2M output tokens

    Qwen3.8-Max costs 2.4× as much

    Hy4
    $13.34
    Qwen3.8-Max
    $32
Workload or rateHy4Qwen3.8-Max
Example workloads
10M input and 2M output tokens$13.34 (better)$32
The same, with 9M of the input tokens cached$6.21Not listed
Other listed rates
1M input tokens, cached$0.042Not listed

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

Book the cost audit

Verdict

When to choose each

Hy4

Where it leads

  • Lower input and output prices, $0.834 and $2.501 vs $2 and $6 per 1M tokens
  • A cached-input rate, $0.042 per 1M tokens

Best for

  • Agents that work across terminals, desktop apps and browsers on a tight budget
  • Finance and office work: research reports, spreadsheets and slides

Watch out for

  • API only for now: Tencent says it will publish the weights and a system card later, and only Hy4 preview (August 2026, Apache 2.0) is open today
  • In Tencent's own table it scores 44.4% on Terminal-Bench 4.0 against 66.8% for Kimi K3.1 Pro, and Tencent says a clear gap remains to top proprietary models on research-level math, long-horizon coding and hard visual questions
  • Tencent publishes no context window or output limit for Hy4 (the preview card lists 1M tokens), and no independent benchmark score is recorded here yet

Qwen3.8-Max

Where it leads

  • Accepts video input

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

From benchmark to production

Building on Hy4 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

FAQ

Hy4 vs Qwen3.8-Max FAQ

Which is cheaper, Hy4 or Qwen3.8-Max?

Hy4 is 58% cheaper per 1M input tokens than Qwen3.8-Max, $0.834 vs $2. For 10M input and 2M output tokens, Hy4 costs $13.34 and Qwen3.8-Max $32 at standard rates.

Do Hy4 and Qwen3.8-Max discount cached input?

Hy4 lists a cached-input rate of $0.042 per 1M tokens, 95% below its standard input rate. No cached-input rate is listed for Qwen3.8-Max.

How do Hy4 and Qwen3.8-Max differ in features?

Hy4 takes text and image input; Qwen3.8-Max takes text, image and video.

Production evaluation

Choosing between Hy4 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