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Head-to-head comparison

MiniMax M1 80k vs GPT-3.5 Turbo Instruct

MiniMax M1 80k (MiniMaxAI) and GPT-3.5 Turbo Instruct (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-3.5 Turbo Instruct holds the stronger ModelCap Index position (#111 vs #114); MiniMax M1 80k offers the longer context window (1M vs 4K 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 4K.
  • you want to self-host: MiniMax M1 80k ships open weights while GPT-3.5 Turbo Instruct is api only.
  • you want the more recently listed model — MiniMax M1 80k was listed 13 June 2025, GPT-3.5 Turbo Instruct 28 September 2023.

Choose GPT-3.5 Turbo Instruct if…

  • you want the stronger overall ModelCap Index position — #111 against #114 (22.1 vs 22.0 points).
  • you want provider choice — 1 listed API providers against 0.

MiniMax M1 80k vs GPT-3.5 Turbo Instruct: specs, pricing and context

Specification comparison of MiniMax M1 80k and GPT-3.5 Turbo Instruct
FieldMiniMax M1 80kMiniMaxAIGPT-3.5 Turbo InstructOpenAI
ModelCap Index position#114#111
Index score22.022.1
EvidenceMeasuredEstimated
Input price / 1M tokensUnlisted$1.50
Output price / 1M tokensUnlisted$2.00
Context window1M tokens4K tokens
Max output tokens4K
API providers listed01
Weight accessOpen weightsAPI only
Input modalitiesTextText
First listed13 June 202528 September 2023
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-3.5 Turbo Instruct

Public benchmark boards where MiniMax M1 80k or GPT-3.5 Turbo Instruct has a published result
BoardMiniMax M1 80kGPT-3.5 Turbo InstructLeads
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-3.5 Turbo Instruct: common questions

Is MiniMax M1 80k better than GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct ranks higher on the ModelCap Index as of 18 August 2026: #111 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-3.5 Turbo Instruct?

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-3.5 Turbo Instruct?

MiniMax M1 80k has the larger context window: 1M tokens against 4K.

Which is better for coding, MiniMax M1 80k or GPT-3.5 Turbo Instruct?

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-3.5 Turbo Instruct open-weight models?

MiniMax M1 80k: Open weights. GPT-3.5 Turbo Instruct: 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-3.5 Turbo Instruct?

ModelCap currently lists 0 API providers for MiniMax M1 80k and 1 for GPT-3.5 Turbo Instruct, 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-3.5 Turbo Instruct 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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