ALLaM-2-7b vs MiniMax Text 01 (MiniMax) vs Morph V3 Fast
MiniMax Text 01 (MiniMax) comes out ahead, 39 to 15 and 0 on our weighted score.
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
- Our pick
MiniMaxMiniMax Text 01 (MiniMax)
39/100- ECI—
- Price—
- Context1M
Morph
Morph V3 Fast
15/100- ECI—
- Price$0.80 / $1.20
- Context262K
MiniMax Text 01 (MiniMax) is our pick
MiniMax Text 01 (MiniMax) is the better all-round choice, scoring 39/100 against Morph V3 Fast (15) and ALLaM-2-7b (0). It leads on inputs & features and context window. 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 priceMorph V3 FastMorph V3 Fast $0.90 per 1M tokens (3:1 blend) · ALLaM-2-7b and MiniMax Text 01 (MiniMax) unpriced
- Longest contextMiniMax Text 01 (MiniMax)MiniMax Text 01 (MiniMax) 1,000,000 · Morph V3 Fast 262,144 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsALLaM-2-7b: Text · MiniMax Text 01 (MiniMax): Text · Morph V3 Fast: Text
- Self-hostingALLaM-2-7bPublishes downloadable weights
| Measure | Weight | ALLaM-2-7b | MiniMax Text 01 (MiniMax) | Morph V3 Fast |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 25 | 0 |
| Context window | 40% | 0 | 60 | 37 |
| Overall | 100% | 0/100 | 39/100 | 15/100 |
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 Text 01 (MiniMax)MiniMax | Morph V3 FastMorph |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | — | $0.80 |
| Output | — | — | $1.20 |
| Cached input | — | — | — |
| Blended (3:1) | — | — | $0.90 |
| Long-context rate | — | — | Same rate |
| Price source | — | — | Median of 5 providers |
| Limits | |||
| Context window | 4,096 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 4,096 tokens | 131,072 tokens (best) | 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 | No | No |
| Tool calling | No | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 2 | — | 5 (best) |
| Released | Jan 23, 2025 | Jan 15, 2025 | Jul 7, 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 Text 01 (MiniMax)—
- Morph V3 Fast$10.40
Which should you choose?
Which is better: ALLaM-2-7b, MiniMax Text 01 (MiniMax) or Morph V3 Fast?
MiniMax Text 01 (MiniMax) is the better all-round choice, scoring 39/100 against Morph V3 Fast (15) and ALLaM-2-7b (0). It leads on inputs & features and context window. 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 Text 01 (MiniMax) or Morph V3 Fast?
Morph V3 Fast is cheaper at $0.80 input / $1.20 output per million tokens (median across 5 API providers). . At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Morph V3 Fast 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 Text 01 (MiniMax) has not been scored yet and Morph V3 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ALLaM-2-7b, MiniMax Text 01 (MiniMax) and Morph V3 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ALLaM-2-7b and Morph V3 Fast 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 262,144 for Morph V3 Fast and 4,096 for ALLaM-2-7b. Maximum output per response: ALLaM-2-7b up to 4,096, MiniMax Text 01 (MiniMax) up to 131,072, Morph V3 Fast up to 131,072 tokens.
Which can read images, PDFs, audio or video?
ALLaM-2-7b accepts text; MiniMax Text 01 (MiniMax) accepts text; Morph V3 Fast accepts text. They handle the same number of input types.
Are any of these open source?
ALLaM-2-7b publishes its weights and can be self-hosted; MiniMax Text 01 (MiniMax) and Morph V3 Fast is proprietary.
Which is newer?
Morph V3 Fast is the newest, released Jul 7, 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.
