Hy4 Preview

Lab unknownKey hy4-previewAlso reported as tencent/hy4-preview, cb/hy4-preview, tencent-tokenhub/hy4-preview, tencent tokenhub/hy4-preview, mm0e-com/auto/hy4-preview, nano-gpt/tencent/hy4-preview

Rank
#66
by active users
Active users
21
Down 1 from 22 active users in the previous 30 days. vs previous 30 days
Adoption
2.2%
of 958 accounts
Tokens
409.8M
cache included
Est. cost
$61
at public list prices
First seen
Aug 28, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 02:42 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Hy4 Preview, Oct 14, 2026 to Nov 12, 2026. Peak 6. Use the left and right arrow keys to read each day.630
Show daily values
Daily active users and tokens for Hy4 Preview
Date (UTC)Active usersTokens
Oct 14, 2026697.9M
Oct 15, 2026563M
Oct 16, 202625.3M
Oct 17, 2026229.1M
Oct 18, 2026323.1M
Oct 19, 2026317.3M
Oct 20, 2026414.8M
Oct 21, 202624.2M
Oct 22, 202634.1M
Oct 23, 2026310.6M
Oct 24, 202635.9M
Oct 25, 2026348.3M
Oct 26, 202622.7M
Oct 27, 202613.9M
Oct 28, 2026226.4M
Oct 29, 2026331.1M
Oct 30, 20261267K
Oct 31, 202619.5K
Nov 1, 202600
Nov 2, 202611.3M
Nov 3, 2026120.6M
Nov 4, 2026123.1K
Nov 5, 202600
Nov 6, 202600
Nov 7, 202600
Nov 8, 202600
Nov 9, 202600
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 409.8M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input15%
  • Output0.7%
  • Cache read83%
  • Cache write1.3%
  • Reasoning<0.1%

Agents that carry Hy4 Preview

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. WorkBuddy81% of this model's tokens11active users
  2. Amp14% of this model's tokens1active users
  3. OpenCode1.5% of this model's tokens1active users
  4. Oh My Pi1.3% of this model's tokens2active users
  5. Codex CLI1.2% of this model's tokens1active users
  6. CodeBuddy0.6% of this model's tokens3active users
  7. Claude Code0.5% of this model's tokens1active users
  8. Pi<0.1% of this model's tokens1active users

Benchmarks

The best result for Hy4 Preview in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • WebDev ArenaWeb development · LMArena
    1,631
    Rank #18 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.02
    Rank #21 of 48 matched modelsArena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Oct 21, 2026. OpenRouter is the reference price for the estimates below. It is the first provider listed; models.dev lists no price from the lab's own API.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.17
Est. per 1M tokens
83% cache reads
At the community mix
$0.07
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$1.13
Per 1M tokens at list prices
No cache

Cache reads were 83% of Hy4 Preview tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • OpenRouter list prices per 1M tokens: input $0.75, output $2.25, cache read $0.04.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • OpenRouterReferencetencent/hy4-preview
    $0.75 input per 1M tokens$2.25 output per 1M tokens$0.04 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewaytencent/hy4-preview
    $0.83 input per 1M tokens$2.50 output per 1M tokens$0.04 cache read per 1M tokensCache write not listed1.02M tokens of context
  • Deep Infratencent/Hy4-preview
    $0.83 input per 1M tokens$2.50 output per 1M tokens$0.04 cache read per 1M tokensCache write not listed1.05M tokens of context

Specs

From models.dev (MIT), retrieved Oct 21, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1.05M tokens
Max output
64K tokens
Input
Text
Output
Text
Knowledge cutoff
— not listed
Release date
Aug 28, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Hy4 Preview most in this period, by tokens. Hidden accounts are never listed.

  1. 1L1nY4n@L1nY4n176.7Mtokens$15est. cost10active days$15 est. cost · 10 active days
  2. 2Rakai Seto@RakaiSeto58.9Mtokens—est. cost2active daysno price · 2 active days
  3. 3jhzhang09@jhzhang0946Mtokens$4est. cost9active days$4 est. cost · 9 active days
  4. 4ZhangXiao@XiaoZ-021836.1Mtokens$26est. cost8active days$26 est. cost · 8 active days
  5. 5Dorian@Denszh32.1Mtokens$2est. cost3active days$2 est. cost · 3 active days
  6. 6revo@revox0x24.3Mtokens$11est. cost1active days$11 est. cost · 1 active days
  7. 7YueXi@boxiaolanya20086.3Mtokens—est. cost1active daysno price · 1 active days
  8. 8zhangyangMr@zhangyangMr5.1Mtokens<$1est. cost5active days<$1 est. cost · 5 active days
  9. 9Casper@Casper0155.1Mtokens—est. cost1active daysno price · 1 active days
  10. 10Nanda Zahran Syafiq@nandazahran4.9Mtokens—est. cost1active daysno price · 1 active days

Other Lab unknown models in the same period, by active users.

No other Lab unknown models with data in this period.

All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • models.devSpecs and list prices per provider.MIT · Retrieved Oct 21, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count