Hy3

Lab unknownKey hy3Also reported as codebuddy/hy3, tencent/hy3, bai/hy3, workbuddy/hy3, opencode-go/hy3, go/hy3

Rank
#52
by active users
Active users
7
Up 1 from 6 active users in the previous 7 days. vs previous 7 days
Adoption
1.1%
of 609 accounts
Tokens
8.9M
cache included
Est. cost
<$1
at public list prices
First seen
May 4, 2026
in any submission

Nov 6–12, 2026 (UTC)609 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:50 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 Hy3, Nov 6, 2026 to Nov 12, 2026. Peak 3. Use the left and right arrow keys to read each day.320
Show daily values
Daily active users and tokens for Hy3
Date (UTC)Active usersTokens
Nov 6, 20262595K
Nov 7, 20261181K
Nov 8, 20263260K
Nov 9, 20262347K
Nov 10, 202636.5M
Nov 11, 202611.1M
Nov 12, 202600

Token mix

How the 8.9M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input9.0%
  • Output1.5%
  • Cache read89%
  • Cache write0%
  • Reasoning<0.1%

Agents that carry Hy3

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

  1. WorkBuddy100% of this model's tokens6active users
  2. cc-mirror/curl<0.1% of this model's tokens1active users

Benchmarks

The best result for Hy3 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
    1,507
    Rank #53 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    −0.06
    Rank #40 of 48 matched modelsArena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

Not evaluated: Epoch Capabilities Index, GPQA Diamond, Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 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
$0.05
Est. per 1M tokens
89% cache reads
At the community mix
$0.04
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.23
Per 1M tokens at list prices
No cache

Cache reads were 89% of Hy3 tokens in the last 7 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 $0.13, output $0.53, cache read $0.03.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
  • The community mix is the tokens of every identified model in the last 7 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/hy3
    $0.13 input per 1M tokens$0.53 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed262K tokens of context
  • Vercel AI Gatewaytencent/hy3
    $0.14 input per 1M tokens$0.58 output per 1M tokens$0.04 cache read per 1M tokensCache write not listed262K tokens of context
  • Deep Infratencent/Hy3
    $0.13 input per 1M tokens$0.53 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed262K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
262K tokens
Max output
128K tokens
Input
Text
Output
Text
Knowledge cutoff
— not listed
Release date
Jul 6, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Hy3 most in this period, by tokens. Hidden accounts are never listed.

  1. 1青微@qingwei03267.2Mtokens<$1est. cost2active days<$1 est. cost · 2 active days
  2. 2cxvh@cxvh906Ktokens<$1est. cost5active days<$1 est. cost · 5 active days
  3. 3L1nY4n@L1nY4n414Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  4. 4Lorilaeth@loliri165Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  5. 5vipox233@vipox233142Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  6. 6Hanxiao Xiang@ATang072979.5Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  7. 7如是@MiFaZhan117tokens—est. cost1active daysno price · 1 active days

More from Lab unknown

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 Nov 12, 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