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minimax.minimax-m2.5

Bedrock · chat model

minimax.minimax-m2.5 is listed here as a chat model from Bedrock. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.3000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
8.2K

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

Token limits

Context window
8.2K
Max input tokens
1.0M
Max output tokens
8.2K
Max tokens
8.2K

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

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

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 100%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 100%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 100%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 100%
minimax.minimax-m2.1
bedrock_converse
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 100%
minimax.minimax-m2.5
bedrock_converse
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 100%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 97%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 97%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 97%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 94%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 94%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 94%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 94%
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
204.8K
Text covered
Overall 73%