LLM Reference

MiniMax M2.7 vs MiniMax M3

MiniMax M2.7 (2026) and MiniMax M3 (teased) are frontier reasoning models from MiniMax. MiniMax M2.7 ships a 205K-token context window, while MiniMax M3 has no published context window yet. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

MiniMax M2.7 is the production option today; track MiniMax M3 only as a release-watch candidate until public specs, pricing, provider routes, and benchmarks ship.

Decision scorecard

Local evidence first
SignalMiniMax M2.7MiniMax M3
Best forreasoning-heavy apps, tool-calling agents, and provider-routed productionRelease monitoring and wait-or-adopt planning
Decision fitRAG, Agents, and Long contextGeneral
Context window205K
Cheapest output$1.20/1M tokens-
Provider routes4 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose MiniMax M2.7 when...
  • MiniMax M2.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • MiniMax M2.7 has broader tracked provider coverage for fallback and procurement flexibility.
  • MiniMax M2.7 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags MiniMax M2.7 for RAG, Agents, and Long context.
Choose MiniMax M3 when...
  • Track MiniMax M3 only as a watchlist option until published weights, API routes, pricing, context, and benchmarks exist.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

MiniMax M2.7

$523

Cheapest tracked route/tier: OpenRouter

MiniMax M3

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

MiniMax M2.7 -> MiniMax M3
  • Do not migrate production traffic from MiniMax M2.7 to MiniMax M3 yet; wait for released weights or API documentation, pricing, context limits, and benchmark evidence.
MiniMax M3 -> MiniMax M2.7
  • MiniMax M3 is not a callable production source yet, so this is a future evaluation path rather than a live migration.

Specs

Specification
Released2026-03-18Teased - not yet released
Context window205K
Parameters10B active
Architecturedecoder onlyMiniMax Sparse Attention
LicenseProprietary-
Knowledge cutoff--

Pricing and availability

Pricing attributeMiniMax M2.7MiniMax M3
Input price$0.28/1M tokens-
Output price$1.20/1M tokens-
Providers-

Capabilities

CapabilityMiniMax M2.7MiniMax M3
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: MiniMax M2.7, function calling: MiniMax M2.7, tool use: MiniMax M2.7, and structured outputs: MiniMax M2.7. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: MiniMax M2.7 has $0.28/1M input tokens and MiniMax M3 has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose MiniMax M2.7 when you need a model you can test, price, and route today. Keep MiniMax M3 on a watchlist until release materials confirm the context window, price, license, provider availability, and benchmark behavior. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is MiniMax M3 released yet?

No. MiniMax M3 is tracked as teased or pre-release in local seed data, with no public weights, API route, pricing, benchmarks, context window, or license details available yet. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is MiniMax M2.7 or MiniMax M3 open source?

MiniMax M2.7 is listed under Proprietary. MiniMax M3 is listed under not clearly licensed in the seed data. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, MiniMax M2.7 or MiniMax M3?

MiniMax M2.7 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, MiniMax M2.7 or MiniMax M3?

MiniMax M2.7 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, MiniMax M2.7 or MiniMax M3?

MiniMax M2.7 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run MiniMax M2.7 and MiniMax M3?

MiniMax M2.7 is available on OpenRouter, Fireworks AI, Vercel AI Gateway, and Novita AI. MiniMax M3 has no tracked public provider route yet. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.