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minimax.minimax-m2.1

Bedrock · chat model

minimax.minimax-m2.1 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
$0.4700 / 1M tokens
Output
$1.8600 / 1M tokens
Cached input
N/A
Context
8.2K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. 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.

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
$0.4700 / 1M tokens
Output
$1.8600 / 1M tokens
Embedding
$0.4700 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
196.0K
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 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
SWE-bench Verified 74.0 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
Multi-SWE-bench 49.4 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
SWE-bench Multilingual 72.5 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
Terminal-Bench 2.0 47.9 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
VIBE (Average) 88.6 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
VIBE-Web 91.5 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 2026-05-31 Link
VIBE-Android 89.7 score Base model: MiniMax-M2.1 (MiniMax-M2.1) 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
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minimax.minimax-m2.1
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In $0.4700 / 1M tokens
Out $1.8600 / 1M tokens
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Output: text
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Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
qwen.qwen3-coder-next
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In $0.7800 / 1M tokens
Out $1.8600 / 1M tokens
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qwen.qwen3-coder-next
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In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
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qwen.qwen3-coder-next
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In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
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8.2K
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qwen.qwen3-coder-next
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In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
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Output: text
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qwen.qwen3-coder-next
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In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
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qwen.qwen3-coder-next
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In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
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8.2K
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minimax.minimax-m2.1
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In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
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minimax.minimax-m2.1
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In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
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minimax.minimax-m2.1
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In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
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minimax.minimax-m2.5
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Out $1.8600 / 1M tokens
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In $0.4000 / 1M tokens
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In $0.4500 / 1M tokens
Out $1.8000 / 1M tokens
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