Aion-RP 1.0 (8B) vs Qwen2.5-Coder-32B-Instruct vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct comes out ahead, 44 to 39 and 24 on our weighted score, though Qwen2.5-Coder-32B-Instruct is 20% cheaper per token.
Aion Labs
Aion-RP 1.0 (8B)
24/100- ECI—
- Price$0.80 / $1.60
- Context33K
Alibaba (Qwen)Qwen2.5-Coder-32B-Instruct
39/100- ECI—
- Price$0.66 / $1.00
- Context131K
- Our pickAlibaba (Qwen)
Qwen2.5-VL 72B Instruct
44/100- ECI—
- Price$0.905 / $1.00
- Context131K
Qwen2.5-VL 72B Instruct is our pick
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 44/100 against Qwen2.5-Coder-32B-Instruct (39) and Aion-RP 1.0 (8B) (24). It leads on inputs & features. Qwen2.5-Coder-32B-Instruct wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. 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-Coder-32B-InstructQwen2.5-Coder-32B-Instruct $0.745 · Qwen2.5-VL 72B Instruct $0.93 · Aion-RP 1.0 (8B) $1.00 per 1M tokens (3:1 blend)
- Longest contextQwen2.5-Coder-32B-Instruct and Qwen2.5-VL 72B InstructQwen2.5-Coder-32B-Instruct 131,072 · Qwen2.5-VL 72B Instruct 131,072 · Aion-RP 1.0 (8B) 32,768 tokens
- Widest inputsQwen2.5-VL 72B InstructAion-RP 1.0 (8B): Text · Qwen2.5-Coder-32B-Instruct: Text · Qwen2.5-VL 72B Instruct: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Aion-RP 1.0 (8B) | Qwen2.5-Coder-32B-Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|---|---|
| Price | 50% | 48 | 54 | 49 |
| Inputs & features | 30% | 0 | 25 | 50 |
| Context window | 20% | 0 | 25 | 25 |
| Overall | 100% | 24/100 | 39/100 | 44/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Aion-RP 1.0 (8B)Aion Labs | Qwen2.5-Coder-32B-InstructAlibaba (Qwen) | Qwen2.5-VL 72B InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.80 | $0.66 (best) | $0.905 |
| Output | $1.60 | $1.00 (best) | $1.00 |
| Cached input | — | — | — |
| Blended (3:1) | $1.00 | $0.745 (best) | $0.93 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 7 providers | Median of 6 providers |
| Limits | |||
| Context window | 32,768 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Max output | 29,491 tokens (best) | 8,192 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | — |
| API providers | 4 | 7 (best) | 6 |
| Released | Feb 4, 2025 | Nov 12, 2024 | Jan 26, 2025 |
| Knowledge cutoff | Dec 31, 2023 | — | 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.
- Aion-RP 1.0 (8B)$11.20
- Qwen2.5-Coder-32B-Instruct$8.60
- Qwen2.5-VL 72B Instruct$11.06
Which should you choose?
Which is better: Aion-RP 1.0 (8B), Qwen2.5-Coder-32B-Instruct or Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is the better all-round choice, scoring 44/100 against Qwen2.5-Coder-32B-Instruct (39) and Aion-RP 1.0 (8B) (24). It leads on inputs & features. Qwen2.5-Coder-32B-Instruct wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Aion-RP 1.0 (8B), Qwen2.5-Coder-32B-Instruct or Qwen2.5-VL 72B Instruct?
Qwen2.5-Coder-32B-Instruct is cheaper at $0.66 input / $1.00 output per million tokens (median across 7 API providers). Qwen2.5-VL 72B Instruct costs $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 $0.745 per million tokens for Qwen2.5-Coder-32B-Instruct versus $0.93 for Qwen2.5-VL 72B Instruct (1.2× as much) and $1.00 for Aion-RP 1.0 (8B) (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aion-RP 1.0 (8B) has not been scored yet, Qwen2.5-Coder-32B-Instruct has not been scored yet and Qwen2.5-VL 72B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aion-RP 1.0 (8B), Qwen2.5-Coder-32B-Instruct and Qwen2.5-VL 72B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aion-RP 1.0 (8B) does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5-Coder-32B-Instruct and Qwen2.5-VL 72B Instruct have the largest context windows (131,072 and 131,072 tokens), against 32,768 for Aion-RP 1.0 (8B). Maximum output per response: Aion-RP 1.0 (8B) up to 29,491, Qwen2.5-Coder-32B-Instruct up to 8,192, Qwen2.5-VL 72B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aion-RP 1.0 (8B) accepts text; Qwen2.5-Coder-32B-Instruct accepts text; Qwen2.5-VL 72B Instruct accepts text and images. 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; Qwen2.5-Coder-32B-Instruct came out Nov 12, 2024. Knowledge cutoff: Aion-RP 1.0 (8B) Dec 31, 2023, Qwen2.5-VL 72B Instruct 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 Nov 2, 2026.
