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MiniMax: MiniMax-M2

Efficient open MiniMax model built for coding agents and tool-heavy workflows

Source-linked minimax Open weights Released 2025-10-27
API record Report
InputT
OutputT
Input price$0.3/M
Output price$1.2/M
Context204.8K
Max output131.072K
Providers15
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering MiniMax-M2
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
MiniMax Token Plan (minimax.io) MiniMax-M2 204.8K 131.072K — — — ReasoningTools Docs ↗
MiniMax Token Plan (minimax.cn) MiniMax-M2 204.8K 131.072K — — — ReasoningTools Docs ↗
DevPass (LLM Gateway) minimax-m2 196.608K 131.072K $0.2 $1 $0.03 ReasoningTools Docs ↗
OpenRouter minimax/minimax-m2 204.8K 131.072K $0.255 $1.02 — ReasoningToolsJSON Docs ↗
Hugging Face MiniMaxAI/MiniMax-M2 204.8K 131.072K $0.3 $1.2 — ReasoningTools Docs ↗
Novita AI minimax/minimax-m2 204.8K 131.072K $0.3 $1.2 $0.03 ReasoningTools Docs ↗
Merge Gateway minimax/minimax-m2 204.8K 8.192K $0.3 $1.2 $0.03 ReasoningTools Docs ↗
MiniMax (minimax.io) MiniMax-M2 204.8K 131.072K $0.3 $1.2 — ReasoningTools Docs ↗
Kilo Gateway minimax/minimax-m2 204.8K 131.072K $0.3 $1.2 — ReasoningToolsJSON Docs ↗
Ofox minimax/minimax-m2 204.8K 131.072K $0.3 $1.2 $0.03 ReasoningTools Docs ↗
Eden AI minimax/MiniMax-M2 204.8K 131.072K $0.3 $1.2 — ReasoningTools Docs ↗
Amazon Bedrock minimax.minimax-m2 204.608K 128K $0.3 $1.2 — ReasoningToolsJSON Docs ↗
MiniMax (minimax.cn) MiniMax-M2 204.8K 131.072K $0.314 $1.255 $0.031 ReasoningTools Docs ↗
302.AI MiniMax-M2 1M 128K $0.33 $1.32 — Tools Docs ↗
Cortecs minimax-m2 400K 196K $0.349 $1.405 — ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.2/M

Across 13 priced providers

Median input $0.3/M

Midpoint of listed rates

Highest input $0.349/M

1.7× the lowest listed rate

Output range $1 – $1.405

Per million output tokens

DevPass (LLM Gateway) $0.2/MLowest
OpenRouter $0.255/M
Hugging Face $0.3/M
Novita AI $0.3/M
Merge Gateway $0.3/M
MiniMax (minimax.io) $0.3/M
Kilo Gateway $0.3/M
Ofox $0.3/M
Eden AI $0.3/M
Amazon Bedrock $0.3/M
MiniMax (minimax.cn) $0.314/M
302.AI $0.33/M
Cortecs $0.349/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 196.608K to 1M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
× Attachments No
× Vision input No
✓ Open weights Yes
Creator
MiniMax
Model family
minimax
Knowledge cutoff
Not documented
License
Not documented
Release date
2025-10-27
Model ID
minimax/MiniMax-M2

Weights: Hugging Face ↗

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
SWE-Bench Verified resolved Source ↗
SWE-Bench Verified #29 of 32

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against SWE-Bench Verified, the benchmark with the widest published coverage that this model appears in.

0 51 102 $0.1 $1 $10 Qwen3.5 122B-A10B — $0.4/M, score 72.0 Qwen3.5 27B — $0.3/M, score 72.4 Qwen3.5 397B-A17B — $0.6/M, score 76.4 Qwen3.6 27B — $0.6/M, score 77.2 Qwen3.6 35B-A3B — $0.375/M, score 73.4 Qwen3.7 Max — $2.5/M, score 80.4 Claude Fable 5 — $10/M, score 95.0 Claude Opus 4.8 — $5/M, score 88.6 Claude Opus 5 — $5/M, score 96.0 Claude Sonnet 5 — $2/M, score 85.2 DeepSeek V4 Flash — $0.15/M, score 79.0 DeepSeek V4 Pro — $0.66/M, score 80.6 MiniMax-M2 — $0.3/M, score 69.4 MiniMax-M2.1 — $0.3/M, score 74.0 MiniMax-M2.5 — $0.3/M, score 75.8 Mistral Medium 3.5 — $1.5/M, score 77.6 Mistral Medium (latest) — $1.5/M, score 77.6 Kimi K2 Thinking — $0.4/M, score 71.3 Kimi K2.5 — $0.375/M, score 70.8 Kimi K2.6 — $0.95/M, score 80.2 Nemotron 3 Ultra 550B A55B — $0.1/M, score 70.7 Step 3.5 Flash — $0.105/M, score 74.4 Step 3.7 Flash — $0.202/M, score 76.5 Hy3 — $0.066/M, score 78.0 Hy3 preview — $0.18/M, score 74.4 MiMo-V2.5-Pro — $0.435/M, score 78.9 GLM-4.7 — $0.448/M, score 73.8 GLM-4.7-Flash — $0.06/M, score 59.2 GLM-5 — $0.598/M, score 72.8 MiniMax-M2 Input price per million tokens (log scale) Resolved

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Max Output Tokens128000 → 131072
Context Length196608 → 204800
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://modelbench.lol/api/v1/models/minimax/MiniMax-M2
curl
curl "https://modelbench.lol/api/v1/models/minimax/MiniMax-M2"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is MiniMax-M2?

Efficient open MiniMax model built for coding agents and tool-heavy workflows. It is published by MiniMax and catalogued here from Models.dev.

How much does MiniMax-M2 cost?

Listed input pricing starts at $0.2 per million tokens from DevPass (LLM Gateway), rising to $0.349 across 13 listed providers.

What is the context length of MiniMax-M2?

MiniMax-M2 accepts up to 204.8K tokens of context and returns up to 131.072K output tokens.

Does MiniMax-M2 support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, and reasoning.

Which providers serve MiniMax-M2?

15 providers list this model: MiniMax Token Plan (minimax.io), MiniMax Token Plan (minimax.cn), DevPass (LLM Gateway), OpenRouter, Hugging Face, Novita AI and 9 more.

Are the weights for MiniMax-M2 open?

Yes. The weights are published and downloadable from Hugging Face.

When was MiniMax-M2 released?

The catalog records a release date of 2025-10-27, last verified Oct 24, 2026.

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