MiniMax M1: Benchmarks, Pricing & Comparison

Source value: 96.8
Score: 96.8
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:minimax-m1:6
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

FullStackBench (Show measurement, test conditions, and source)

Source value: 68.3
Score: 68.3
Metric: percent
Unit: %
Category: coding
Direction: Higher is better
Comparison cohort: research:minimax-m1:7
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

GPQA Diamond (Show measurement, test conditions, and source)

Source value: 70
Score: 70
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:minimax-m1:8
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

HLE (no tools) (Show measurement, test conditions, and source)

Source value: 8.4
Score: 8.4
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:minimax-m1:9
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

ZebraLogic (Show measurement, test conditions, and source)

Source value: 86.8
Score: 86.8
Metric: percent
Unit: %
Category: reasoning
Direction: Higher is better
Comparison cohort: research:minimax-m1:10
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

MMLU-Pro (Show measurement, test conditions, and source)

Source value: 81.1
Score: 81.1
Metric: percent
Unit: %
Category: knowledge
Direction: Higher is better
Comparison cohort: research:minimax-m1:11
Source type: vendor-reported
Evaluator: official model card/release page
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. MiniMax-M1-80K; official comparison table; published score

Source official model card/release page

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

MiniMax M1

Not tested yet

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

Profile

Specifications and access

Published information about this model. Existing estimates are explicitly labeled.

Weights: Open weightsSource
Access: APISource
Parameters: 456BSource
Active parameters: 45.9BSource
Context window: 1,000,000 tokensSource

Additional source observations

Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.

Release: 2025-06-13Source
Parameters: 456 BSource
Active parameters: 45.9 BSource

Pricing

Published prices

Prices apply to the stated unit. Resolution, output length, and provider can change the cost.

API input: $0.55 per 1M tokensSource
API output: $2.2 per 1M tokensSource

Cost example

100 API requests

$0.165

100 requests with 1,000 input and 500 output tokens each calculate to $0.165. Input accounts for $0.055; output accounts for $0.11.

Input price: $0.55 / 1M tokensBase tier for each request
Output price: $2.2 / 1M tokensBase tier for each request

The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.

Open source

Head-to-head comparisons

Compare this model

Each matchup compares this model with exactly one other model from the same category.

There are no published direct comparisons for this model yet.

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Evidence

Sources and data date

Every statement links to its underlying documentation or leaderboard.

Price: Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
Pricing

Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.

Open evidence questions and research notes (original wording)

Not found in the inspected sources

knowledge-cutoff. No exact value located in the checked primary model card/API documentation.

Not found in the inspected sources

AA benchmark rows. No exact-model row in the selected public JSON-LD datasets (some pages only expose N/A or unknown metric summaries).

Model metadata (retrieved September 8, 2026)Source
API pricingSource