GPT Audio Mini vs MiniMax-M2.5-highspeed
Prices checked
MiniMax-M2.5-highspeed takes 1 of 5 rounds against GPT Audio Mini. Both cost $1.05 per million tokens to run.
OpenAIGPT Audio Mini
128k context · tool calling
$1.05/M tokensOpenAI's own price · $0.50 per 1,000 pages
MiniMaxWins 1 roundMiniMax-M2.5-highspeed
205k context · tool calling · open weights
$1.05/M tokensMiniMax's own price · $0.50 per 1,000 pages
Maker's price in (lower wins)
$0.60/M
$0.60/M
Maker's price out (lower wins)
$2.40/M
$2.40/M
Cheapest price (lower wins)
none below the maker
none below the maker
Maker's price, blended (lower wins)
$1.05/M
$1.05/M
Cost per 1,000 pages (lower wins)
$0.50
$0.50
Context
128k tokens
205k tokens
Open weights
not published
yes
Tool calling
yes
yes
Structured output
yes
not published
Reads images
no
no
Reasoning
no
yes
Released
19 Jan 2026
13 Feb 2026
Providers selling it
5
12
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
no provider to check
no provider to check
Providers selling both · 1
Merge Gateway$1.05 / $1.05
GPT Audio Mini, then MiniMax-M2.5-highspeed, per million tokens.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, GPT Audio Mini or MiniMax-M2.5-highspeed?
- Neither: both run at $1.05 per million tokens, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- GPT Audio Mini: nobody sells it below the maker's own price with a stated reason, so $1.05 is the number to beat. MiniMax-M2.5-highspeed: nobody sells it below the maker's own price with a stated reason, so $1.05 is the number to beat.
- Can I buy both from one provider?
- Yes. One provider sells both: Merge Gateway. The cheapest of them for the two together is Merge Gateway.
- Which holds more context?
- MiniMax-M2.5-highspeed, at 205k tokens against 128k.
Prices exclude tax, read 31 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.
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