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Hy4 preview vs Kimi K2 Instruct

Hy4 preview leads the LLM Stats Score 51.1 to 22.0.

Tencent · Moonshot AI · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.1 to 22.0, ranking #14 overall.

In the 2 individual benchmarks reported for both models, Hy4 preview wins 2; 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 Hy4 preview

  • overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Kimi K2 Instruct

  • you want predictable pricing at $0.50/M input and $0.50/M output

At a glance

The differences that matter most.

Hy4 preview
Tencent
Kimi K2 Instruct
Moonshot AI
Core performance indexes
LLM Stats Score
51.1
#14
22.0
#171
Reasoning
50.7
#11
22.1
#163
Coding
39.8
#12
12.6
#138
Agents
36.3
#14
-0.9
#164
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.50 / M
Output price
— / M
$0.50 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Hy4 preview
Kimi K2 Instruct
Math
39.4#17
22.5#131
Tool use
31.1#10
7.4#136
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 38 for Kimi K2 Instruct

2 shared

Hy4 preview outperforms in 2 benchmarks (GPQA, SWE-bench Multilingual), while Kimi K2 Instruct is better at 0 benchmarks.

Hy4 preview significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

230.0B diff

Kimi K2 Instruct has 230.0B more parameters than Hy4 preview, making it 29.9% larger.

Tencent
Hy4 preview
770.0Bparameters
Moonshot AI
Kimi K2 Instruct
1.0Tparameters
770.0B
Hy4 preview
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Tencent
Hy4 preview
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Hy4 preview is licensed under Apache 2.0, while Kimi K2 Instruct uses MIT.

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

Hy4 preview

Apache 2.0

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while Kimi K2 Instruct was released on 2025-07-11.

Hy4 preview is 14 months newer than Kimi K2 Instruct.

Hy4 preview

Aug 28, 2026

6 days ago

1.1yr newer
Kimi K2 Instruct

Jul 11, 2025

1.1 years 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 Hy4 preview and Kimi K2 Instruct side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
Kimi K2 Instruct
Open in Playground

FAQ

Common questions about Hy4 preview vs Kimi K2 Instruct.

Which is better, Hy4 preview or Kimi K2 Instruct?

Hy4 preview leads the LLM Stats Score 51.1 to 22.0. Hy4 preview is made by Tencent and Kimi K2 Instruct 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 Hy4 preview compare to Kimi K2 Instruct in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

What are the context window sizes for Hy4 preview and Kimi K2 Instruct?

Hy4 preview supports an unknown number of tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy4 preview and Kimi K2 Instruct?

Key differences include LLM Stats Score (51.1 vs 22.0), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and Kimi K2 Instruct?

Hy4 preview is developed by Tencent and Kimi K2 Instruct is developed by Moonshot AI.

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