MiniMax M2.7 logoOur pick
A
8.4/10

MiniMax M2.7

VS
Google Antigravity logo
A
8.0/10

Google Antigravity

MiniMax M2.7 vs Google Antigravity

Tier-list head-to-head. MiniMax M2.7 takes the A-tier slot — here's the breakdown.

Last reviewed May 20, 2026· sweep-fresh

Spec sheet

At a glance

 MiniMax M2.7 logoMiniMax M2.7Google Antigravity logoGoogle Antigravity
TierA-tierwinA-tier
Overall score8.4 / 10win8.0 / 10
Powered byGemini 3.5 Flash / Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model). Gemini 3.5 Flash added at I/O 2026 (2026-05-19) and is the model behind the antigravity-preview-05-2026 Managed Agent.
Free tierYesYes
Starting price$0$0
Best forAgentic coding and tool-use workflows on a budget.Developers working on large, multi-file projects who want to parallelize their workflow.
Last reviewed2026-04-272026-05-20

Head-to-head

Score showdown

Rated 1-10 on the same rubric across all 130 tools we cover.

Ease of use+1.5 Google Antigravity
MiniMax M2.7
6.5
Google Antigravity
8.0
Output quality+0.5 MiniMax M2.7
MiniMax M2.7
9.0
Google Antigravity
8.5
Value+3.5 MiniMax M2.7
MiniMax M2.7
9.5
Google Antigravity
6.0
Features+1.0 Google Antigravity
MiniMax M2.7
8.5
Google Antigravity
9.5
Overall+0.4 MiniMax M2.7
MiniMax M2.7
8.4
Google Antigravity
8.0

What you'll pay

Pricing snapshot

Look past the headline number -- entry-tier limits drive most cost surprises.

MiniMax M2.7 logo

MiniMax M2.7

Free tier available

  • Self-hosted (Free)$0
  • API (M2 / M2.5 reference, MiniMax / OpenRouter)$0.30/per 1M input tokens
  • API (M2.7)Not yet published
Google Antigravity logo

Google Antigravity

Free tier available

  • Free$0
  • Pro$20/mo
  • Ultra$249.99/mo

Benchmark Head-to-Head

MiniMax-M2.7 (229B total, ~10B active MoE) -- self-evolving agent positioning per vendor benchmarks — Google Antigravity has no published benchmarks

BenchmarkScore
SWE-Bench Pro56.22%
Terminal Bench 257%
SWE Multilingual76.5%
Multi SWE Bench52.7%
VIBE-Pro55.6%

The decision

Which should you pick?

Use-case anchors and category strengths, side by side.

Our pick
MiniMax M2.7 logo

Pick MiniMax M2.7if…

A
8.4/10
  • Better value at the price you'll actually pay (9.5/10 on value)
  • Agentic coding and tool-use workflows on a budget.
  • Best price-to-SWE-Bench ratio of any open-weights model in 2026.

Agentic coding and tool-use workflows on a budget. Best price-to-SWE-Bench ratio of any open-weights model in 2026.

Visit MiniMax M2.7
Google Antigravity logo

Pick Google Antigravityif…

A
8.0/10
  • Easier to learn and use day-to-day -- friendlier onboarding curve
  • More feature surface area for power users who'll use the depth
  • Developers working on large, multi-file projects who want to parallelize their workflow.
  • If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.

Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.

Visit Google Antigravity

Bottom line

The verdict

MiniMax M2.7 edges out Google Antigravity by 0.4 points (8.4 vs 8.0) -- a A-tier vs A-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for MiniMax M2.7's strengths, so if those categories are your priority, the lead translates.

Pricing-wise, both tools have a free tier (MiniMax M2.7 starts $0, Google Antigravity starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.

By use case: pick MiniMax M2.7 when agentic coding and tool-use workflows on a budget. Pick Google Antigravity when developers working on large, multi-file projects who want to parallelize their workflow. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in MiniMax M2.7's lane, the tier-list ranking and the use-case fit point the same direction; if you're in Google Antigravity's lane, the score gap matters less than the fit.

Bottom line: MiniMax M2.7 is the safer default for most readers, but Google Antigravity is competitive enough that the tie-breaker is your specific workload, not the spec sheet.

AIToolTier verdictLast reviewed May 20, 2026Tier rubric · ease of use, output, value, features

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Built from our daily AI-tool sweep, last touched May 20, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.