ALLaM-2-7b vs Qwen-MT Plus
Too close to call on our weighted score (ALLaM-2-7b 0, Qwen-MT Plus 0). The right pick depends on what you value most.
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
Alibaba (Qwen)Qwen-MT Plus
0/100- ECI—
- Price$2.46 / $7.37
- Context16K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (ALLaM-2-7b 0/100, Qwen-MT Plus 0/100), so choose by what matters most for your work: Qwen-MT Plus on price and Qwen-MT Plus for long inputs. 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 priceQwen-MT PlusQwen-MT Plus $3.69 per 1M tokens (3:1 blend) · ALLaM-2-7b unpriced
- Longest contextQwen-MT PlusQwen-MT Plus 16,384 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsALLaM-2-7b: Text · Qwen-MT Plus: Text
- Self-hostingALLaM-2-7bPublishes downloadable weights
| Measure | Weight | ALLaM-2-7b | Qwen-MT Plus |
|---|---|---|---|
| Inputs & features | 60% | 0 | 0 |
| Context window | 40% | 0 | 0 |
| Overall | 100% | 0/100 | 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 | ALLaM-2-7bSDAIA | Qwen-MT PlusAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $2.46 |
| Output | — | $7.37 |
| Cached input | — | — |
| Blended (3:1) | — | $3.69 |
| Long-context rate | — | Same rate |
| Price source | — | Official Alibaba API |
| Limits | ||
| Context window | 4,096 tokens | 16,384 tokens (best) |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| 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 | Open | Proprietary |
| API model ID | — | qwen-mt-plus |
| API providers | 2 (best) | 1 |
| Released | Jan 23, 2025 | Jan 2025 |
| Knowledge cutoff | — | Apr 2024 |
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—
- Qwen-MT Plus$39.34
Which should you choose?
Which is better: ALLaM-2-7b or Qwen-MT Plus?
It is close. Our weighted score puts them within a point (ALLaM-2-7b 0/100, Qwen-MT Plus 0/100), so choose by what matters most for your work: Qwen-MT Plus on price and Qwen-MT Plus for long inputs. 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 or Qwen-MT Plus?
Qwen-MT Plus is cheaper at $2.46 input / $7.37 output per million tokens (official Alibaba API price). . At a typical mix of three input tokens to one output token, that is $3.69 per million tokens for Qwen-MT Plus 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. ALLaM-2-7b has not been scored yet and Qwen-MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ALLaM-2-7b and Qwen-MT Plus 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 Qwen-MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen-MT Plus has the largest context window at 16,384 tokens, against 4,096 for ALLaM-2-7b. Maximum output per response: ALLaM-2-7b up to 4,096, Qwen-MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
ALLaM-2-7b accepts text; Qwen-MT Plus 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; Qwen-MT Plus is proprietary.
Which is newer?
ALLaM-2-7b is the newest, released Jan 23, 2025. Qwen-MT Plus came out Jan 2025. Knowledge cutoff: Qwen-MT Plus Apr 2024.
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 Oct 4, 2026.
