GPT-5.1-Codex-Mini (OpenAI) and Hy-MT2-1.8B (Tencent) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 3 September 2026
As of 3 September 2026, GPT-5.1-Codex-Mini holds the stronger ModelCap Index position (#69 vs #72); Hy-MT2-1.8B is 11.3× cheaper per output token ($0.177/1M vs $2.00/1M); GPT-5.1-Codex-Mini offers the longer context window (400K vs 8K tokens); and Hy-MT2-1.8B ships open weights.
Evidence: 1 public benchmark observation across 1 board · publisher corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: GPT-5.1-Codex-Mini vs Hy-MT2-1.8B
Public benchmark boards where GPT-5.1-Codex-Mini or Hy-MT2-1.8B has a published result
GPT-5.1-Codex-Mini vs Hy-MT2-1.8B: common questions
Is GPT-5.1-Codex-Mini better than Hy-MT2-1.8B?
GPT-5.1-Codex-Mini ranks higher on the ModelCap Index as of 3 September 2026: #69 against #72. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.
Is GPT-5.1-Codex-Mini cheaper than Hy-MT2-1.8B?
Hy-MT2-1.8B is cheaper on output tokens: $0.177/1M against $2.00/1M. Input tokens are $0.25/1M for GPT-5.1-Codex-Mini and $0.044/1M for Hy-MT2-1.8B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.
Which has the bigger context window, GPT-5.1-Codex-Mini or Hy-MT2-1.8B?
GPT-5.1-Codex-Mini has the larger context window: 400K tokens against 8K.
Which is better for coding, GPT-5.1-Codex-Mini or Hy-MT2-1.8B?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are GPT-5.1-Codex-Mini and Hy-MT2-1.8B open-weight models?
GPT-5.1-Codex-Mini: API only. Hy-MT2-1.8B: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run GPT-5.1-Codex-Mini and Hy-MT2-1.8B?
ModelCap currently lists 1 API provider for GPT-5.1-Codex-Mini and 1 for Hy-MT2-1.8B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this GPT-5.1-Codex-Mini vs Hy-MT2-1.8B comparison?
Every figure comes from the sealed ModelCap dataset published 3 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.