MiniMax-M2.5

baseten · Chat model

MiniMax-M2.5 is listed here as a chat model from baseten. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

baseten-baseten-minimaxai-minimax-m2-5

Input

$0.3000 / 1M tokens

Output

$1.2000 / 1M tokens

Cached input

N/A

Context window

N/A

Catalog generated: Aug 10, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$0.3000 / 1M tokens
Output	$1.2000 / 1M tokens
Embedding	$0.3000 / 1M tokens

Limits

No matching data

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	-
Parallel function calling	-
Tool choice	-
Prompt caching	-
Reasoning	-
Response schema	-
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-
Native streaming	-
Computer use	-
Assistant prefill	-
Structured output	-
Output config	-
URL context	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
SWE-bench Verified	75.80%	% resolved	Base model: MiniMax M2.5 (MiniMax M2.5 (high reasoning))	2026-05-31	Link
SWE-bench Verified	69.4	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link
Multi-SWE-bench	36.2	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link
SWE-bench Multilingual	56.5	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link
Terminal-Bench	46.3	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link
ArtifactsBench	66.8	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link
BrowseComp	44	score	Base model: MiniMax-M2 (MiniMax-M2)	2026-05-31	Link

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Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-08-10T21:27:29.020Z