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ChatGPT Codex Code Distillation Data Package
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US$79,000.00US$79,000.00-0%
Stock:In Stock
Subtotal:US$79,000.00
Total:US$79,000.00
Product Details
Product Overview
This product is a GPT-5.4 Codex Code LLM Training Data Package distilled from OpenAI's GPT-5.4 Codex model. GPT-5.4, released March 2026, merges OpenAI's general and coding model lines into a single system with native computer-use capabilities, 1M token context window, and SWE-bench Verified 84%+ code ability.
Self-distillation cost: ~¥700,000+. This package saves you 88%+ of distillation costs.
- Total Data: ~4.8M+ high-quality code instruction-response pairs
- Token Scale: ~13 billion tokens
- Languages: 20+ mainstream languages (Python-centric)
- Source Model: GPT-5.4 Codex (SWE-bench Verified 84%, SWE-bench Pro 57.7%, HumanEval 97.5%, 1M token context)
- Distillation: Self-Instruct + Evol-Instruct + RLHF + Execution Feedback + CoT Extraction
Why GPT-5.4 Codex?
| Metric | GPT-5.4 Codex | GPT-4.1 | GPT-5.2-Codex |
|---|---|---|---|
| SWE-bench Verified | 84% | 54.6% | 80.0% |
| SWE-bench Pro | 57.7% | — | 56.4% |
| HumanEval | 97.5% | 91.5% | 97.0% |
| Native Computer Use | ✓ | ✗ | ✗ |
Data Coverage
| # | Task Type | Description | Scale |
|---|---|---|---|
| 1 | Code Generation | Precise editing (only 2% extraneous modifications) | ~1.1M |
| 2 | Competitive Algorithms | DP, graph theory, number theory, computational geometry | ~650K |
| 3 | Terminal & DevOps | Shell, CI/CD, Docker/K8s, IaC, log analysis | ~500K |
| 4 | Multi-File Engineering | Cross-file modifications, repo-level issue resolution | ~450K |
| 5 | Debugging | Bug localization, race conditions, memory leaks, security | ~500K |
| 6 | Refactoring & Migration | Architecture upgrades, framework/language migrations | ~400K |
| 7 | System Design | Microservices, distributed systems, HA patterns | ~350K |
| 8 | Test Generation & TDD | Unit, E2E, property-based tests | ~300K |
| 9 | Security Audit & Code Review | CVE patterns, injection defense, PR reviews | ~300K |
| 10 | Documentation | API docs, README, ADR, Changelog | ~250K |
Cost Comparison
| Approach | Cost | Time | Notes |
|---|---|---|---|
| Self-Distillation | ~¥700,000+ | 2-4 months | API costs + execution env + manual QA |
| This Package | ¥79,000 | Immediate | Ready-to-use, fully distilled and verified |
| Savings | Save 88%+ cost and 2-4 months |
vs Claude Distillation Package
| Dimension | This (GPT-5.4) | Claude |
|---|---|---|
| Agentic Coding | ★★★★ | ★★★★★ |
| Code Understanding | ★★★★ | ★★★★★ |
| Overall Code Ability | ★★★★ | ★★★★★ |
| Terminal/DevOps | ★★★★★ | ★★★★ |
| Code Precision | ★★★★★ | ★★★★ |
| Competitive Algorithms | ★★★★★ | ★★★★ |
Claude excels in agentic coding, code understanding, and overall capability, while GPT-5.4 Codex has unique strengths in terminal operations, code precision, and competitive algorithms. Use both together for maximum coverage.
Benchmarks
- SWE-bench Verified/Pro, HumanEval, LiveCodeBench, APPS, MultiPL-E, Codeforces
Use Cases
- Code LLM Fine-Tuning, AI Coding Agents, Competitive Algorithm AI
- DevOps/SRE, Security Audit, IDE Plugins, Enterprise Code Assistants
Delivery
- JSONL / Parquet with docs | 1-3 business days | Incremental updates available | Fine-tuning guidance included | Lawful research & commercial use only
User Reviews
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