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Head-to-head comparison

MiniMax M1 80k vs GPT-5.1-Codex-Max

MiniMax M1 80k (MiniMaxAI) and GPT-5.1-Codex-Max (OpenAI) 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 18 August 2026

As of 18 August 2026, GPT-5.1-Codex-Max holds the stronger ModelCap Index position (#113 vs #114); MiniMax M1 80k offers the longer context window (1M vs 400K tokens); and MiniMax M1 80k ships open weights.

Which should you choose?

Choose MiniMax M1 80k if…

  • you need the longer context window — 1M tokens against 400K.
  • you want to self-host: MiniMax M1 80k ships open weights while GPT-5.1-Codex-Max is api only.

Choose GPT-5.1-Codex-Max if…

  • you want the stronger overall ModelCap Index position — #113 against #114 (22.1 vs 22.0 points).
  • you want provider choice — 1 listed API providers against 0.
  • you want the more recently listed model — GPT-5.1-Codex-Max was listed 4 December 2025, MiniMax M1 80k 13 June 2025.

MiniMax M1 80k vs GPT-5.1-Codex-Max: specs, pricing and context

Specification comparison of MiniMax M1 80k and GPT-5.1-Codex-Max
FieldMiniMax M1 80kMiniMaxAIGPT-5.1-Codex-MaxOpenAI
ModelCap Index position#114#113
Index score22.022.1
EvidenceMeasuredEstimated
Input price / 1M tokensUnlisted$1.25
Output price / 1M tokensUnlisted$10.00
Context window1M tokens400K tokens
Max output tokens128K
API providers listed01
Weight accessOpen weightsAPI only
Input modalitiesTextText, Image
First listed13 June 20254 December 2025
PublisherMiniMaxAIOpenAI

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: MiniMax M1 80k vs GPT-5.1-Codex-Max

Public benchmark boards where MiniMax M1 80k or GPT-5.1-Codex-Max has a published result
BoardMiniMax M1 80kGPT-5.1-Codex-MaxLeads
Artificial Analysis Intelligence IndexArtificial Analysis17.9intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

MiniMax M1 80k vs GPT-5.1-Codex-Max: common questions

Is MiniMax M1 80k better than GPT-5.1-Codex-Max?

GPT-5.1-Codex-Max ranks higher on the ModelCap Index as of 18 August 2026: #113 against #114. 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 MiniMax M1 80k cheaper than GPT-5.1-Codex-Max?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, MiniMax M1 80k or GPT-5.1-Codex-Max?

MiniMax M1 80k has the larger context window: 1M tokens against 400K.

Which is better for coding, MiniMax M1 80k or GPT-5.1-Codex-Max?

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 MiniMax M1 80k and GPT-5.1-Codex-Max open-weight models?

MiniMax M1 80k: Open weights. GPT-5.1-Codex-Max: API only. 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 MiniMax M1 80k and GPT-5.1-Codex-Max?

ModelCap currently lists 0 API providers for MiniMax M1 80k and 1 for GPT-5.1-Codex-Max, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this MiniMax M1 80k vs GPT-5.1-Codex-Max comparison?

Every figure comes from the sealed ModelCap dataset published 18 August 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.

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