MiniMax Text 01 (MiniMax) vs MiniMax-M2 vs ALLaM-2-7b
MiniMax Text 01 (MiniMax) comes out ahead, 39 to 34 and 0 on our weighted score.
- Our pick
MiniMaxMiniMax Text 01 (MiniMax)
39/100- ECI—
- Price—
- Context1M
- MiniMax
MiniMax-M2
34/100- ECI—
- Price$0.30 / $1.20
- Context205K
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
MiniMax Text 01 (MiniMax) is our pick
MiniMax Text 01 (MiniMax) is the better all-round choice, scoring 39/100 against MiniMax-M2 (34) and ALLaM-2-7b (0). It leads on context window. MiniMax-M2 wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMiniMax-M2MiniMax-M2 $0.525 per 1M tokens (3:1 blend) · MiniMax Text 01 (MiniMax) and ALLaM-2-7b unpriced
- Longest contextMiniMax Text 01 (MiniMax)MiniMax Text 01 (MiniMax) 1,000,000 · MiniMax-M2 204,800 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsMiniMax Text 01 (MiniMax): Text · MiniMax-M2: Text · ALLaM-2-7b: Text
- Self-hostingMiniMax-M2 and ALLaM-2-7bPublishes downloadable weights
| Measure | Weight | MiniMax Text 01 (MiniMax) | MiniMax-M2 | ALLaM-2-7b |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 35 | 0 |
| Context window | 40% | 60 | 32 | 0 |
| Overall | 100% | 39/100 | 34/100 | 0/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiniMax Text 01 (MiniMax)MiniMax | MiniMax-M2MiniMax | ALLaM-2-7bSDAIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.30 | — |
| Output | — | $1.20 | — |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.525 | — |
| Long-context rate | — | Same rate | — |
| Price source | — | Official MiniMax (minimax.io) API | — |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 204,800 tokens | 4,096 tokens |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | MiniMax-M2 | — |
| API providers | — | 16 (best) | 2 |
| Released | Jan 15, 2025 | Oct 27, 2025 | Jan 23, 2025 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax Text 01 (MiniMax)—
- MiniMax-M2$5.40
- ALLaM-2-7b—
Which should you choose?
Which is better: MiniMax Text 01 (MiniMax), MiniMax-M2 or ALLaM-2-7b?
MiniMax Text 01 (MiniMax) is the better all-round choice, scoring 39/100 against MiniMax-M2 (34) and ALLaM-2-7b (0). It leads on context window. MiniMax-M2 wins on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiniMax Text 01 (MiniMax), MiniMax-M2 or ALLaM-2-7b?
MiniMax-M2 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). . At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2 versus . MiniMax Text 01 (MiniMax) and ALLaM-2-7b has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax Text 01 (MiniMax) has not been scored yet, MiniMax-M2 has not been scored yet and ALLaM-2-7b has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax Text 01 (MiniMax), MiniMax-M2 and ALLaM-2-7b yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ALLaM-2-7b does not support tool calling, which most coding agents need.
Which has the bigger context window?
MiniMax Text 01 (MiniMax) has the largest context window at 1,000,000 tokens, against 204,800 for MiniMax-M2 and 4,096 for ALLaM-2-7b. Maximum output per response: MiniMax Text 01 (MiniMax) up to 131,072, MiniMax-M2 up to 131,072, ALLaM-2-7b up to 4,096 tokens.
Which can read images, PDFs, audio or video?
MiniMax Text 01 (MiniMax) accepts text; MiniMax-M2 accepts text; ALLaM-2-7b accepts text. They handle the same number of input types.
Are any of these open source?
MiniMax-M2 and ALLaM-2-7b publishes its weights and can be self-hosted; MiniMax Text 01 (MiniMax) is proprietary.
Which is newer?
MiniMax-M2 is the newest, released Oct 27, 2025. ALLaM-2-7b came out Jan 23, 2025; MiniMax Text 01 (MiniMax) came out Jan 15, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
