MiniMax · Mid-tier · 200K context window

MiniMax M2 pricing for security review

$0.004060 per call at 6,000 input / 2,500 output tokens.

Per call

$0.004060

10K calls/mo

$40.6

Cache savings

0% off input

Batch savings

0% off all

Calculate your MiniMax M2 costs

Adjust token counts, volume, and discount toggles to model your security review spend. Prices verified daily against provider pricing pages.

Configure your usage

6,000
100100K
2,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$41
10,000 calls/month
Cost per call$0.004060
Daily cost$1
Input rate$0.26/MTok
Output rate$1.00/MTok
Analyze your real spend

Quick start

Call MiniMax M2 with the OpenAI Python SDK pointed at api.minimax.chat:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.minimax.chat/v1",
    api_key=os.environ["MINIMAX_API_KEY"],
)
response = client.chat.completions.create(
    model="minimax-m2",
    max_tokens=2500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.004060 per call at standard rates
# Input:  $0.26/MTok
# Output: $1.00/MTok

How MiniMax M2 compares on cost

Per-call cost for all models scoring 50+ on security review benchmarks. Hover for details.

Highest-quality affordable option: Claude Sonnet 5 at $0.0370/call (9.1x the cost, 96/100 quality). MiniMax M2 is already the cheapest choice for security review.

What drives security review cost

Security review is the code task where quality is worth paying for: a missed vulnerability costs more than the entire year's inference bill. Input is large (the code plus the threat context) and output is moderate. This is the clearest case on this list for choosing a top-ranked model over the cheapest viable one, and for not batching away the latency you need in CI.

For MiniMax M2 specifically, that means output tokens cost 3.8x more than input, at $1.00 vs $0.26 per MTok. At this use case’s 6,000/2,500 token split, output accounts for 62% of the $0.004060 per-call cost.

Complete MiniMax M2 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.266,000
Output$1.002,500

Batch API: 0% off all tokens

Submit requests asynchronously and receive 0% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.004060$40.6$40.6$0.0000
50,000 calls$0.004060$203$203$0.0000
100,000 calls$0.004060$406$406$0.0000
500,000 calls$0.004060$2,030$2,030$0.0000
1,000,000 calls$0.004060$4,060$4,060$0.0000

MiniMax M2 quality benchmarks for security review

Benchmark data for security review is pending for MiniMax M2. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for MiniMax M2. We recommend testing against your own evaluation criteria.

Alternative models for security review

6 models score 80+ on security review benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (811% more, 96/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs MiniMax
Claude Sonnet 5Claude$2.00$10.0096/100$0.0370811% more
Claude Sonnet 4.6Claude$3.00$15.0095/100$0.05551267% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.07401723% more
Claude Opus 4.8Claude$5.00$25.0094/100$0.09252178% more
GPT 5.5GPT$5.00$30.0090/100$0.10502486% more
Claude Fable 5Claude$10.00$50.0095/100$0.18504457% more

About MiniMax M2

Provider

MiniMax

Tier

Mid-tier

Context

200K tokens

Released

Not published

Prices from platform.minimax.io/docs/pricing/overview (read 2026-10-11). No cache discount published (set 1.0 — no discount). No batch discount published. Not yet benchmarked, so never recommended.

Other models from MiniMax

ModelTierInput $/MTokOutput $/MTokContext
MiniMax M3Flagship$0.30$1.201M

You can compare MiniMax M2 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does MiniMax M2 cost for security review per API call?

A typical security review call using MiniMax M2 costs about $0.004060 per call. This estimate uses 6,000 input tokens and 2,500 output tokens at standard rates. Standard rates are $0.26 per million input tokens and $1.00 per million output tokens.

Is MiniMax M2 the best model for security review?

Our benchmark data does not yet include a security review ranking for MiniMax M2. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for security review with good quality?

The most affordable model for security review above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 96/100. Claude Sonnet 5 costs more per call than MiniMax M2 but scores higher on quality benchmarks for this task type.

How can I reduce my MiniMax M2 costs for security review?

Three strategies lower MiniMax M2 costs for this task type effectively. Prompt caching gives a 0% discount on input tokens when reusing system prompts. The batch API gives 0% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.004060 to about $0.004060 per call.

How does MiniMax M2 pricing compare to other MiniMax models?

MiniMax has 1 other models alongside MiniMax M2 today: MiniMax M3 at $0.30/$1.20 per million tokens (flagship). The right choice depends on whether your security review workload prioritizes quality, cost, or speed.

What context window does MiniMax M2 support?

MiniMax M2 supports a context window of 200K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For security review, typical calls use 6,000 input and 2,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

Track what you spend on AI

This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.