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Hy3 vs Kimi K2.7 Code

Hy3 and Kimi K2.7 Code are closely matched at 42.9 and 39.6 on the LLM Stats Score.

Tencent · Moonshot AI · Updated for 2026

Which is better?

Hy3 and Kimi K2.7 Code are closely matched on the overall LLM Stats Score at 42.9 and 39.6.

In the 1 individual benchmarks reported for both models, Hy3 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Hy3

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jul 2026

Choose Kimi K2.7 Code

  • you want predictable pricing at $0.74/M input and $3.50/M output

At a glance

The differences that matter most.

Hy3
Tencent
Kimi K2.7 Code
Moonshot AI
Core performance indexes
LLM Stats Score
42.9
#39
39.6
#49
Reasoning
42.9
#37
35.2
#74
Coding
35.0
#27
32.2
#42
Agents
28.2
#36
28.0
#37
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.74 / M
Output price
— / M
$3.50 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy3
Kimi K2.7 Code
Tool use
23.2#39
25.6#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Hy3 · 9 for Kimi K2.7 Code

1 shared

Hy3 outperforms in 1 benchmarks (MCP Atlas), while Kimi K2.7 Code is better at 0 benchmarks.

Hy3 significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

705.0B diff

Kimi K2.7 Code has 705.0B more parameters than Hy3, making it 239.0% larger.

Tencent
Hy3
295.0Bparameters
Moonshot AI
Kimi K2.7 Code
1.0Tparameters
295.0B
Hy3
1000.0B
Kimi K2.7 Code

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (131,072 tokens).

Tencent
Hy3
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.7 Code supports multimodal inputs, whereas Hy3 does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

Hy3

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while Kimi K2.7 Code uses Modified MIT License.

License differences may affect how you can use these models in commercial or open-source projects.

Hy3

Apache 2.0

Open weights

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Kimi K2.7 Code was released on 2026-06-12.

Hy3 is 1 month newer than Kimi K2.7 Code.

Hy3

Jul 6, 2026

1 months ago

3w newer
Kimi K2.7 Code

Jun 12, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Hy3 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Kimi K2.7 Code
Open in Playground

FAQ

Common questions about Hy3 vs Kimi K2.7 Code.

Which is better, Hy3 or Kimi K2.7 Code?

Hy3 and Kimi K2.7 Code are closely matched on the LLM Stats Score at 42.9 and 39.6. Hy3 is made by Tencent and Kimi K2.7 Code is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy3 compare to Kimi K2.7 Code in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

What are the context window sizes for Hy3 and Kimi K2.7 Code?

Hy3 supports an unknown number of tokens and Kimi K2.7 Code supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy3 and Kimi K2.7 Code?

Key differences include LLM Stats Score (42.9 vs 39.6), multimodal support (no vs yes), licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Kimi K2.7 Code?

Hy3 is developed by Tencent and Kimi K2.7 Code is developed by Moonshot AI.

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