Hy3

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

Rank
#135
by active users
Active users
94
All time
Adoption
3.8%
of 2,457 accounts
Tokens
7.5B
cache included
Est. cost
$452
at public list prices
First seen
May 4, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 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, Oct 10, 2024 to Nov 12, 2026. Peak 15. Use the left and right arrow keys to read each day.1580
Show daily values
Daily active users and tokens for Hy3
Date (UTC)Active usersTokens
Oct 10, 202400
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Jan 1, 202500
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May 4, 20261116K
May 5, 20261205K
May 6, 20261198K
May 7, 20261305K
May 8, 202600
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Jun 1, 20261243K
Jun 2, 2026121.3K
Jun 3, 202600
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Jul 6, 202611.9M
Jul 7, 202629.8M
Jul 8, 2026210M
Jul 9, 2026684.6M
Jul 10, 2026431.8M
Jul 11, 202621.3M
Jul 12, 20262213K
Jul 13, 2026674.9M
Jul 14, 20268213.6M
Jul 15, 20264228M
Jul 16, 20269507.8M
Jul 17, 20269165.9M
Jul 18, 20264282.7M
Jul 19, 20266253.3M
Jul 20, 20268237.4M
Jul 21, 202612462.8M
Jul 22, 20269120.3M
Jul 23, 2026974.7M
Jul 24, 2026762.4M
Jul 25, 20262183K
Jul 26, 2026619.4M
Jul 27, 202666.7M
Jul 28, 2026436.7M
Jul 29, 2026262.1M
Jul 30, 2026430.3M
Jul 31, 2026617.4M
Aug 1, 2026751.5M
Aug 2, 2026660M
Aug 3, 2026525.1M
Aug 4, 20269124.2M
Aug 5, 2026981.6M
Aug 6, 20269120M
Aug 7, 2026723.3M
Aug 8, 2026914.7M
Aug 9, 202635.8M
Aug 10, 2026642.1M
Aug 11, 2026724.9M
Aug 12, 2026730.2M
Aug 13, 2026521.3M
Aug 14, 2026525.3M
Aug 15, 2026569.1M
Aug 16, 202665.7M
Aug 17, 2026572.7M
Aug 18, 20263589K
Aug 19, 20261051.6M
Aug 20, 202615241.9M
Aug 21, 20261282.5M
Aug 22, 2026715.5M
Aug 23, 202687.3M
Aug 24, 2026762.1M
Aug 25, 202611161.5M
Aug 26, 202611170M
Aug 27, 20268259.1M
Aug 28, 2026958.5M
Aug 29, 2026213.2M
Aug 30, 2026412.7M
Aug 31, 2026432M
Sep 1, 2026989.5M
Sep 2, 202689.2M
Sep 3, 20267211M
Sep 4, 202644M
Sep 5, 202615.7M
Sep 6, 2026431M
Sep 7, 2026457.9M
Sep 8, 2026320.1M
Sep 9, 2026542M
Sep 10, 2026439.5M
Sep 11, 202631.4M
Sep 12, 2026317M
Sep 13, 2026441.2M
Sep 14, 2026750M
Sep 15, 2026755.2M
Sep 16, 2026717.9M
Sep 17, 2026660.3M
Sep 18, 20266106.2M
Sep 19, 2026354.2M
Sep 20, 2026338.6M
Sep 21, 2026470.8M
Sep 22, 2026251.3M
Sep 23, 2026249.6M
Sep 24, 2026328.6M
Sep 25, 2026479.1M
Sep 26, 20263186.8M
Sep 27, 2026313.7M
Sep 28, 2026462.8M
Sep 29, 2026556.5M
Sep 30, 2026512.4M
Oct 1, 202628.8M
Oct 2, 202636.8M
Oct 3, 202614.5M
Oct 4, 202629.7M
Oct 5, 202632.3M
Oct 6, 2026223.3M
Oct 7, 202628.5M
Oct 8, 2026542M
Oct 9, 2026546.5M
Oct 10, 2026411M
Oct 11, 2026544.3M
Oct 12, 2026560M
Oct 13, 2026766.8M
Oct 14, 2026662M
Oct 15, 2026460.9M
Oct 16, 2026416.9M
Oct 17, 2026414.5M
Oct 18, 2026323.6M
Oct 19, 2026564.5M
Oct 20, 2026637.2M
Oct 21, 2026433.8M
Oct 22, 2026752.4M
Oct 23, 2026440.7M
Oct 24, 202628.9M
Oct 25, 2026324.9M
Oct 26, 2026725.4M
Oct 27, 2026648.2M
Oct 28, 2026518.4M
Oct 29, 2026441.8M
Oct 30, 2026413.6M
Oct 31, 202636.4M
Nov 1, 202600
Nov 2, 202644.3M
Nov 3, 202643.7M
Nov 4, 202632.3M
Nov 5, 20262553K
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 7.5B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input29%
  • Output1.0%
  • Cache read70%
  • 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. WorkBuddy76% of this model's tokens47active users
  2. Hermes Agent11% of this model's tokens8active users
  3. OpenCode4.8% of this model's tokens25active users
  4. CodeBuddy3.5% of this model's tokens10active users
  5. Pi3.1% of this model's tokens9active users
  6. Oh My Pi1.1% of this model's tokens8active users
  7. Senpi (OmO Native)0.2% of this model's tokens1active users
  8. DeepSeek Harness<0.1% of this model's tokens4active users
  9. Command Code<0.1% of this model's tokens1active users
  10. Codex CLI<0.1% of this model's tokens3active users
  11. Claude Code<0.1% of this model's tokens1active users
  12. 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)

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
$0.07
Est. per 1M tokens
70% cache reads
At the community mix
$0.04
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.23
Per 1M tokens at list prices
No cache

Cache reads were 70% of Hy3 tokens across all time and 93% 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 across all time.
  • The community mix is the tokens of every identified model across all time.
  • 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凪咲@chi2nagisa1.8Btokens$171est. cost13active days$171 est. cost · 13 active days
  2. 2Zen Huifer@huifer1.2Btokens$113est. cost84active days$113 est. cost · 84 active days
  3. 3L1nY4n@L1nY4n1Btokens$46est. cost55active days$46 est. cost · 55 active days
  4. 4Furkan @raksix527.5Mtokens—est. cost10active daysno price · 10 active days
  5. 5王鋆燚@wjyxiaojiu-del495.6Mtokens$23est. cost22active days$23 est. cost · 22 active days
  6. 6青微@qingwei0326283.6Mtokens$13est. cost21active days$13 est. cost · 21 active days
  7. 7enigma146@yanalabuseini212.7Mtokens—est. cost11active daysno price · 11 active days
  8. 8Pipu@pipuwong207.9Mtokens$9est. cost28active days$9 est. cost · 28 active days
  9. 9Dmego@dmego141.8Mtokens$8est. cost21active days$8 est. cost · 21 active days
  10. 10Dohyun Jung@ddarkr117.5Mtokens—est. cost4active daysno price · 4 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 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