Qwen2.5-VL 72B Instruct vs ALLaM-2-7b vs Aion-RP 1.0 (8B)
Qwen2.5-VL 72B Instruct comes out ahead, 40 to 0 and 0 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen2.5-VL 72B Instruct
40/100- ECI—
- Price$0.905 / $1.00
- Context131K
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
Aion Labs
Aion-RP 1.0 (8B)
0/100- ECI—
- Price$0.80 / $1.60
- Context33K
Qwen2.5-VL 72B Instruct is our pick
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 40/100 against Aion-RP 1.0 (8B) (0) 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 priceQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct $0.93 · Aion-RP 1.0 (8B) $1.00 per 1M tokens (3:1 blend) · ALLaM-2-7b unpriced
- Longest contextQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct 131,072 · Aion-RP 1.0 (8B) 32,768 · ALLaM-2-7b 4,096 tokens
- Widest inputsQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct: Text, Images · ALLaM-2-7b: Text · Aion-RP 1.0 (8B): Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5-VL 72B Instruct | ALLaM-2-7b | Aion-RP 1.0 (8B) |
|---|---|---|---|---|
| Inputs & features | 60% | 50 | 0 | 0 |
| Context window | 40% | 25 | 0 | 0 |
| Overall | 100% | 40/100 | 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 | Qwen2.5-VL 72B InstructAlibaba (Qwen) | ALLaM-2-7bSDAIA | Aion-RP 1.0 (8B)Aion Labs |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.905 | — | $0.80 (best) |
| Output | $1.00 (best) | — | $1.60 |
| Cached input | — | — | — |
| Blended (3:1) | $0.93 (best) | — | $1.00 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 6 providers | — | Median of 4 providers |
| Limits | |||
| Context window | 131,072 tokens (best) | 4,096 tokens | 32,768 tokens |
| Max output | 8,192 tokens | 4,096 tokens | 29,491 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | — |
| API providers | 6 (best) | 2 | 4 |
| Released | Jan 26, 2025 | Jan 23, 2025 | Feb 4, 2025 |
| Knowledge cutoff | Apr 2024 | — | Dec 31, 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen2.5-VL 72B Instruct$11.06
- ALLaM-2-7b—
- Aion-RP 1.0 (8B)$11.20
Which should you choose?
Which is better: Qwen2.5-VL 72B Instruct, ALLaM-2-7b or Aion-RP 1.0 (8B)?
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 40/100 against Aion-RP 1.0 (8B) (0) 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, Qwen2.5-VL 72B Instruct, ALLaM-2-7b or Aion-RP 1.0 (8B)?
Qwen2.5-VL 72B Instruct is cheaper at $0.905 input / $1.00 output per million tokens (median across 6 API providers). Aion-RP 1.0 (8B) costs $0.80 input / $1.60 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.93 per million tokens for Qwen2.5-VL 72B Instruct versus $1.00 for Aion-RP 1.0 (8B) (1.1× as much). 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. Qwen2.5-VL 72B Instruct has not been scored yet, ALLaM-2-7b has not been scored yet and Aion-RP 1.0 (8B) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-VL 72B Instruct, ALLaM-2-7b and Aion-RP 1.0 (8B) 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 Aion-RP 1.0 (8B) does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-VL 72B Instruct has the largest context window at 131,072 tokens, against 32,768 for Aion-RP 1.0 (8B) and 4,096 for ALLaM-2-7b. Maximum output per response: Qwen2.5-VL 72B Instruct up to 8,192, ALLaM-2-7b up to 4,096, Aion-RP 1.0 (8B) up to 29,491 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-VL 72B Instruct accepts text and images; ALLaM-2-7b accepts text; Aion-RP 1.0 (8B) accepts text. Qwen2.5-VL 72B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Aion-RP 1.0 (8B) is the newest, released Feb 4, 2025. Qwen2.5-VL 72B Instruct came out Jan 26, 2025; ALLaM-2-7b came out Jan 23, 2025. Knowledge cutoff: Qwen2.5-VL 72B Instruct Apr 2024, Aion-RP 1.0 (8B) Dec 31, 2023.
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.
