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MiniMax · budget

Is MiniMax M2.7 good?

MiniMax M2.7 has been tested across 22 task areas. It's strongest at structured output and weakest at translation & localization. It's a budget-friendly option ($0.9/1M tokens).

Top-3 finishes
22/22
Task areas tested
$0.9
Per 1M tokens
Slow
Typical speed

Our take

MiniMax: MiniMax M2.7 is a budget-tier model that we tested across 22 task areas. It performs best at Coding, and is weakest at Translation & Localization.

Strengths

Tone Faithfulness Correctness Code quality

Weak spots

Clarity Usefulness Specificity Structure Prioritisation Grounding no fabrication

How MiniMax M2.7 ranks, task by task

Rank is the position in each field; Rating is the absolute quality bar. A model can be rated "Excellent" yet sit mid-table when the whole field is strong — and vice-versa.

Task area Rank
Structured Output #17 of 43
Product & Project Management #26 of 44
Data & Analytics #43 of 69
Creative & Comedy #33 of 44
Frontend & Landing Pages #70 of 93
Customer Support #35 of 43
Research & Competitive Analysis #40 of 44
Landing Pages #52 of 56
Legal & HR #41 of 44
Content & Brand #47 of 50
Coding #50 of 52
RAG, Safety & Grounding #34 of 35
Presentations & Decks #43 of 44
Summarization & Meeting Notes #43 of 44
Training & Education #43 of 44
Knowledge & Docs #92 of 94
AI Strategy #49 of 50
Executive Assistant #49 of 50
Investor & Pitch #49 of 50
Chef / Home Cooking #50 of 50
Sales #44 of 44
Translation & Localization #44 of 44

Industry benchmarks

Standardized third-party scores, shown for context — these are independent of our real-task tests.

Artificial Analysis indices

38.1
Intelligence
52.6
Coding
25.6
Agentic

Design Arena — human preference (avg Elo 1254)

3d 1272 svg 1196 dataviz 1272 gamedev 1275 website 1287 asciiart 1188 uicomponent 1261 codecategories 1282

Headline vs. real-world

MiniMax M2.7 looks strong on paper but underperforms on our real-world tasks relative to its Intelligence Index.

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29)

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Frequently asked

Is MiniMax M2.7 any good?

MiniMax M2.7 places top-3 in 0 of 22 task areas we benchmarked. It performs best at Structured Output.

What is MiniMax M2.7 best at?

Its strongest task areas are Structured Output, Product & Project Management, Data & Analytics.

Is there a cheaper alternative to MiniMax M2.7?

DeepSeek V3.2 is 36% cheaper and stays competitive on quality across our benchmarks.

How we test & rank

Each model is scored on real tasks across 22 task areas by an LLM judge with deterministic checks. "Percentile" is this model's standing within each area's field; the cross-area figures are rank-based so quality and Elo scores are never mixed.

This page is Spring Prompt, running

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s