Morph V3 Fast vs ALLaM-2-7b
Morph V3 Fast comes out ahead, 15 to 0 on our weighted score, and it is the cheaper option too.
- Our pick
Morph
Morph V3 Fast
15/100- ECI—
- Price$0.80 / $1.20
- Context262K
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
Add a model
Make it a three-way comparison.
Morph V3 Fast is our pick
Morph V3 Fast is the better all-round choice, scoring 15/100 against ALLaM-2-7b (0). It leads on 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 unpriced
- Longest contextMorph V3 FastMorph V3 Fast 262,144 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsMorph V3 Fast: Text · ALLaM-2-7b: Text
- Self-hostingALLaM-2-7bPublishes downloadable weights
| Measure | Weight | Morph V3 Fast | ALLaM-2-7b |
|---|---|---|---|
| Inputs & features | 60% | 0 | 0 |
| Context window | 40% | 37 | 0 |
| Overall | 100% | 15/100 | 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 | Morph V3 FastMorph | ALLaM-2-7bSDAIA |
|---|---|---|
| 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 | 262,144 tokens (best) | 4,096 tokens |
| Max output | 131,072 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | No |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | — |
| API providers | 5 (best) | 2 |
| Released | Jul 7, 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.
- Morph V3 Fast$10.40
- ALLaM-2-7b—
Which should you choose?
Which is better: Morph V3 Fast or ALLaM-2-7b?
Morph V3 Fast is the better all-round choice, scoring 15/100 against ALLaM-2-7b (0). It leads on 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, Morph V3 Fast or ALLaM-2-7b?
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 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Morph V3 Fast 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 Morph V3 Fast 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 Morph V3 Fast and ALLaM-2-7b does not support tool calling, which most coding agents need.
Which has the bigger context window?
Morph V3 Fast has the largest context window at 262,144 tokens, against 4,096 for ALLaM-2-7b. Maximum output per response: Morph V3 Fast up to 131,072, ALLaM-2-7b up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Morph V3 Fast accepts text; ALLaM-2-7b 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; 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.
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.
