ALLaM-2-7b vs MiniMax M1 80K vs MiniMax Text 01 (MiniMax)
MiniMax M1 80K comes out ahead, 45 to 39 and 0 on our weighted score, and it is the cheaper option too.
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
- Our pick
MiniMaxMiniMax M1 80K
45/100- ECI—
- Price$0.55 / $2.20
- Context1M
- MiniMax
MiniMax Text 01 (MiniMax)
39/100- ECI—
- Price—
- Context1M
MiniMax M1 80K is our pick
MiniMax M1 80K is the better all-round choice, scoring 45/100 against MiniMax Text 01 (MiniMax) (39) and ALLaM-2-7b (0). It leads 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 M1 80KMiniMax M1 80K $0.963 per 1M tokens (3:1 blend) · ALLaM-2-7b and MiniMax Text 01 (MiniMax) unpriced
- Longest contextMiniMax M1 80K and MiniMax Text 01 (MiniMax)MiniMax M1 80K 1,000,000 · MiniMax Text 01 (MiniMax) 1,000,000 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsALLaM-2-7b: Text · MiniMax M1 80K: Text · MiniMax Text 01 (MiniMax): Text
- Self-hostingALLaM-2-7b and MiniMax M1 80KPublishes downloadable weights (Apache-2.0)
| Measure | Weight | ALLaM-2-7b | MiniMax M1 80K | MiniMax Text 01 (MiniMax) |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 35 | 25 |
| Context window | 40% | 0 | 60 | 60 |
| Overall | 100% | 0/100 | 45/100 | 39/100 |
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 | ALLaM-2-7bSDAIA | MiniMax M1 80KMiniMax | MiniMax Text 01 (MiniMax)MiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.55 | — |
| Output | — | $2.20 | — |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.963 | — |
| Long-context rate | — | Same rate | — |
| Price source | — | Median of 5 providers | — |
| Limits | |||
| Context window | 4,096 tokens | 1,000,000 tokens (best) | 1,000,000 tokens (best) |
| Max output | 4,096 tokens | 80,000 tokens | 131,072 tokens (best) |
| 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 | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 2 | 5 (best) | — |
| Released | Jan 23, 2025 | Jun 17, 2025 | Jan 15, 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.
- ALLaM-2-7b—
- MiniMax M1 80K$9.90
- MiniMax Text 01 (MiniMax)—
Which should you choose?
Which is better: ALLaM-2-7b, MiniMax M1 80K or MiniMax Text 01 (MiniMax)?
MiniMax M1 80K is the better all-round choice, scoring 45/100 against MiniMax Text 01 (MiniMax) (39) and ALLaM-2-7b (0). It leads 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, ALLaM-2-7b, MiniMax M1 80K or MiniMax Text 01 (MiniMax)?
MiniMax M1 80K is cheaper at $0.55 input / $2.20 output per million tokens (median across 5 API providers). . At a typical mix of three input tokens to one output token, that is $0.963 per million tokens for MiniMax M1 80K versus . ALLaM-2-7b and MiniMax Text 01 (MiniMax) has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. ALLaM-2-7b has not been scored yet, MiniMax M1 80K has not been scored yet and MiniMax Text 01 (MiniMax) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ALLaM-2-7b, MiniMax M1 80K and MiniMax Text 01 (MiniMax) 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 M1 80K and MiniMax Text 01 (MiniMax) have the largest context windows (1,000,000 and 1,000,000 tokens), against 4,096 for ALLaM-2-7b. Maximum output per response: ALLaM-2-7b up to 4,096, MiniMax M1 80K up to 80,000, MiniMax Text 01 (MiniMax) up to 131,072 tokens.
Which can read images, PDFs, audio or video?
ALLaM-2-7b accepts text; MiniMax M1 80K accepts text; MiniMax Text 01 (MiniMax) accepts text. They handle the same number of input types.
Are any of these open source?
ALLaM-2-7b and MiniMax M1 80K publishes its weights (Apache-2.0) and can be self-hosted; MiniMax Text 01 (MiniMax) is proprietary.
Which is newer?
MiniMax M1 80K is the newest, released Jun 17, 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.
