MiniMax-M2-240k vs MiniMax M3
MiniMax-M2-240k (2025) and MiniMax M3 (teased) are general-purpose language models from MiniMax. MiniMax-M2-240k ships a 240K-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-M2-240k 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-M2-240k | MiniMax M3 |
|---|---|---|
| Best for | general production evaluation | Release monitoring and wait-or-adopt planning |
| Decision fit | Long context | General |
| Context window | 240K | — |
| Cheapest output | $1.20/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- MiniMax-M2-240k has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiniMax-M2-240k has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags MiniMax-M2-240k for Long context.
- 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-M2-240k
$540
Cheapest tracked route/tier: Fireworks AI
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-M2-240k 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 | 2025-01-01 | Teased - not yet released |
| Context window | 240K | — |
| Parameters | 240B | — |
| Architecture | decoder only | MiniMax Sparse Attention |
| License | Proprietary | - |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | MiniMax-M2-240k | MiniMax M3 |
|---|---|---|
| Input price | $0.30/1M tokens | - |
| Output price | $1.20/1M tokens | - |
| Providers | - |
Capabilities
| Capability | MiniMax-M2-240k | MiniMax M3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: MiniMax-M2-240k has $0.30/1M input tokens and MiniMax M3 has no token price sourced yet. Provider availability is 1 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-M2-240k 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-M2-240k or MiniMax M3 open source?
MiniMax-M2-240k 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.
Where can I run MiniMax-M2-240k and MiniMax M3?
MiniMax-M2-240k is available on Fireworks AI. MiniMax M3 has no tracked public provider route yet. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick MiniMax-M2-240k over MiniMax M3?
MiniMax-M2-240k 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-M2-240k; 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.