MiniMax M2.5 vs MiniMax M3
MiniMax M2.5 (2025) and MiniMax M3 (teased) are general-purpose language models from MiniMax. MiniMax M2.5 ships a 197K-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 M2.5 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| Signal | MiniMax M2.5 | MiniMax M3 |
|---|---|---|
| Best for | provider-routed production | Release monitoring and wait-or-adopt planning |
| Decision fit | RAG, Long context, and Classification | General |
| Context window | 197K | — |
| Cheapest output | $1.15/1M tokens | - |
| Provider routes | 5 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- MiniMax M2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiniMax M2.5 has broader tracked provider coverage for fallback and procurement flexibility.
- MiniMax M2.5 uniquely exposes Structured outputs in local model data.
- Local decision data tags MiniMax M2.5 for RAG, Long context, and Classification.
- 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 M2.5
$408
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
- Do not migrate production traffic from MiniMax M2.5 to MiniMax M3 yet; wait for released weights or API documentation, pricing, context limits, and benchmark evidence.
- MiniMax M3 is not a callable production source yet, so this is a future evaluation path rather than a live migration.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | Teased - not yet released |
| Context window | 197K | — |
| Parameters | 230B (10B active) | — |
| Architecture | decoder only | MiniMax Sparse Attention |
| License | Proprietary | - |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | MiniMax M2.5 | MiniMax M3 |
|---|---|---|
| Input price | $0.15/1M tokens | - |
| Output price | $1.15/1M tokens | - |
| Providers | - |
Capabilities
| Capability | MiniMax M2.5 | MiniMax M3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: MiniMax M2.5. 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 M2.5 has $0.15/1M input tokens and MiniMax M3 has no token price sourced yet. Provider availability is 5 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 M2.5 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 M2.5 or MiniMax M3 open source?
MiniMax M2.5 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 structured outputs, MiniMax M2.5 or MiniMax M3?
MiniMax M2.5 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run MiniMax M2.5 and MiniMax M3?
MiniMax M2.5 is available on NVIDIA NIM, Together AI, OpenRouter, 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.
When should I pick MiniMax M2.5 over MiniMax M3?
MiniMax M2.5 is the production option today; track MiniMax M3 only as a release-watch candidate until public specs, pricing, provider routes, and benchmarks ship. If your workload also depends on provider fit, start with MiniMax M2.5; if it depends on release timing and verified specs, run the same evaluation with MiniMax M3.
Continue comparing
Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.