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GPT-5.3 Codex vs Hy4 preview

Hy4 preview leads the LLM Stats Score 51.5 to 36.8.

OpenAI · Tencent · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.5 to 36.8, ranking #10 overall.

In the 1 individual benchmarks reported for both models, Hy4 preview 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 GPT-5.3 Codex

  • you want predictable pricing at $1.75/M input and $14.00/M output

Choose Hy4 preview

  • overall performance matters — it scores 51.5 and ranks #10 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
36.8
#66
51.5
#10
37.5
#61
51.2
#8
30.1
#45
40.9
#10
22.8
#48
37.1
#11
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000

Individual benchmarks

6 reported for GPT-5.3 Codex · 32 for Hy4 preview

1 shared

GPT-5.3 Codex outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (SWE-Bench Pro).

Hy4 preview significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.3 Codex supports multimodal inputs, whereas Hy4 preview does not.

GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Codex

Text
Images
Audio
Video

Hy4 preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Codex is licensed under a proprietary license, while Hy4 preview uses Apache 2.0.

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

GPT-5.3 Codex

Proprietary

Closed source

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 7 months newer than GPT-5.3 Codex.

GPT-5.3 Codex

Feb 5, 2026

6 months ago

Hy4 preview

Aug 28, 2026

3 days ago

6mo newer

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 GPT-5.3 Codex and Hy4 preview side-by-side, then vote on the output you prefer.

GPT-5.3 Codex
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about GPT-5.3 Codex vs Hy4 preview.

Which is better, GPT-5.3 Codex or Hy4 preview?

Hy4 preview leads the LLM Stats Score 51.5 to 36.8. GPT-5.3 Codex is made by OpenAI and Hy4 preview is made by Tencent. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.3 Codex compare to Hy4 preview in benchmarks?

GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, LiveBench: 72.8%, OSWorld-Verified: 64.7%. Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%.

What are the context window sizes for GPT-5.3 Codex and Hy4 preview?

GPT-5.3 Codex supports 400K tokens and Hy4 preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.3 Codex and Hy4 preview?

Key differences include LLM Stats Score (36.8 vs 51.5), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Codex and Hy4 preview?

GPT-5.3 Codex is developed by OpenAI and Hy4 preview is developed by Tencent.