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TencentHy3

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Hy3 is an open-weight language model published by Tencent.

Token context
262K tokens
Inputs
Text
Outputs
Text
Released
Not reported

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #25 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Hy3. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.13$0.53$0.033—Oct 1, 2026Provider-reported
$0.132$0.528$0.033—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
LMArena Agent Arenaagent-2026-10-16-a64ca3b12b6e-6.00score—31,296Hy3; 95% CI [-7.50774599, -4.49280945]; sessions 31296; observations 1149668; rank 41unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,438.00rating—12,208hy3; 95% CI [1431.86907820, 1444.13361939]; votes 12208; rank 80unknownOriginal sourcewinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
tencent/Hy3
Released
Not reported
Version
Hy3
License
apache-2.0

Capacity

Token context
262K tokens
Maximum output
Unknown
Total parameters
298.8B
Active parameters
21B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
No
Vision
No
Tool calling
Yes
Capabilities
chat, generation, tools

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasestencent/Hy3, tencent/Hy3

Explicit Unknowns

  • Release date
  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

tencent/Hy3 developer model repositoryTencent · observed Aug 28, 2026tencent/Hy3 README.md at a960ebc3da32Tencent · observed Aug 28, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026OpenRouter tencent/hy3 model APIOpenRouter · observed Aug 28, 2026tencent/Hy3 Hugging Face inference-provider mappingHugging Face · observed Aug 28, 2026tencent/Hy3 config.json at a960ebc3da32Tencent · observed Aug 28, 2026tencent/Hy3 immutable Hub API metadataTencent · observed Aug 28, 2026tencent/Hy3 tokenizer_config.json at a960ebc3da32Tencent · observed Aug 28, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026

Comparable Peers

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Questions

Hy3 FAQs

What is Hy3?+

Hy3 is an open-weight language model published by Tencent. It is developed by Tencent and its current sourced lifecycle status is active.

What inputs and outputs does Hy3 support?+

Hy3's current record lists Text as input and Text as output.

How much context does Hy3 support?+

The current record lists a 262K-token context window and does not report a maximum output length.

Is Hy3 available through an API?+

Hy3 is marked as API-available. The directly sourced provider records currently include Deepinfra, Hugging Face, and Openrouter.

How large is Hy3?+

The current record lists 298.8B total parameters and 21B active parameters. Its architecture is HYV3ForCausalLM.

What capabilities and tasks does Hy3 support?+

Hy3's recorded capabilities are chat, generation, and tools. Its supported tasks are text.

How much does Hy3 cost through an API?+

The lowest directly sourced prices currently attached to Hy3 are $0.13 per million input tokens through Deepinfra and $0.528 per million output tokens through Openrouter. Prices are provider-specific and should be checked against each cited observation date.

Can Hy3 be self-hosted?+

Hy3 is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.

Does Hy3 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are tencent/Hy3.

Which models can Hy3 be compared with?+

The current compatible peer set includes MiniMax M3, Hy4 preview, Command A Plus 05 2026 BF16, ERNIE X1.1, and Antigravity Agent. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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