Compare

GPT-3.5 Turbo vs Minimax Minimax M2 1

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

OpenAI

Model

GPT-3.5 Turbo

Tool calling

Best $0.500 in · $1.50 out

Context window 16K

Pricing
Minimax

Model

Minimax Minimax M2 1

Tool calling

Best $0.360 in · $1.44 out

Context window 196K

Pricing

Minimax Minimax M2 1 is cheaper across the board — 28% cheaper on input and 4% cheaper on output.

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

ProviderGPT-3.5 Turbo inGPT-3.5 Turbo outMinimax Minimax M2 1 inMinimax Minimax M2 1 out
Aws BedrockN/AN/A$0.360$1.44
Azure$0.500$1.50N/AN/A
Github CopilotN/AN/AN/AN/A
OpenAI$0.500$1.50N/AN/A
Openrouter$1.50$2.00N/AN/A
Text Completion Openai$1.50$2.00N/AN/A
Vercel Ai Gateway$0.500$1.50N/AN/A

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · OpenAI · Minimax

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

OpenAI · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Minimax · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec
GPT-3.5 Turbo
Minimax Minimax M2 1
Context window
16,385 tokens
196,000 tokens
Max output tokens
4,096 tokens
8,192 tokens
Vision
No
No
Function calling
Yes
Yes
Streaming
No
No
Release date
May 2023
N/A

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

GPT-3.5 Turbo
Monthly
$375
Annual
$4.6K
Minimax Minimax M2 1
Monthly
$324
Annual
$3.9K
Save $51/month with Minimax Minimax M2 1

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

  • Long-context tasks

    Use Minimax Minimax M2 1. Its 196K context window handles large codebases and documents better than 16K.

  • High-volume text generation

    Use Minimax Minimax M2 1. Output tokens are 4% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Minimax Minimax M2 1. Its 8K max output limit reduces the need to split requests.

Frequently asked questions

Minimax Minimax M2 1 is cheaper on both input and output tokens.

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