Qwen2.5-VL 72B Instruct vs Aion-RP 1.0 (8B) vs MiniMax M1 80K
Too close to call on our weighted score (MiniMax M1 80K 47, Qwen2.5-VL 72B Instruct 44, Aion-RP 1.0 (8B) 24). The right pick depends on what you value most.
Alibaba (Qwen)Qwen2.5-VL 72B Instruct
44/100- ECI—
- Price$0.905 / $1.00
- Context131K
Aion Labs
Aion-RP 1.0 (8B)
24/100- ECI—
- Price$0.80 / $1.60
- Context33K
MiniMaxMiniMax M1 80K
47/100- ECI—
- Price$0.55 / $2.20
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (MiniMax M1 80K 47/100, Qwen2.5-VL 72B Instruct 44/100, Aion-RP 1.0 (8B) 24/100), so choose by what matters most for your work: Qwen2.5-VL 72B Instruct on price and MiniMax M1 80K for long inputs. 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-VL 72B InstructQwen2.5-VL 72B Instruct $0.93 · MiniMax M1 80K $0.963 · Aion-RP 1.0 (8B) $1.00 per 1M tokens (3:1 blend)
- Longest contextMiniMax M1 80KMiniMax M1 80K 1,000,000 · Qwen2.5-VL 72B Instruct 131,072 · Aion-RP 1.0 (8B) 32,768 tokens
- Widest inputsQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct: Text, Images · Aion-RP 1.0 (8B): Text · MiniMax M1 80K: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5-VL 72B Instruct | Aion-RP 1.0 (8B) | MiniMax M1 80K |
|---|---|---|---|---|
| Price | 50% | 49 | 48 | 48 |
| Inputs & features | 30% | 50 | 0 | 35 |
| Context window | 20% | 25 | 0 | 60 |
| Overall | 100% | 44/100 | 24/100 | 47/100 |
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 | Qwen2.5-VL 72B InstructAlibaba (Qwen) | Aion-RP 1.0 (8B)Aion Labs | MiniMax M1 80KMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.905 | $0.80 | $0.55 (best) |
| Output | $1.00 (best) | $1.60 | $2.20 |
| Cached input | — | — | — |
| Blended (3:1) | $0.93 (best) | $1.00 | $0.963 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 6 providers | Median of 4 providers | Median of 5 providers |
| Limits | |||
| Context window | 131,072 tokens | 32,768 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 29,491 tokens | 80,000 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 | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | OpenApache-2.0 |
| API model ID | — | — | — |
| API providers | 6 (best) | 4 | 5 |
| Released | Jan 26, 2025 | Feb 4, 2025 | Jun 17, 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
- Aion-RP 1.0 (8B)$11.20
- MiniMax M1 80K$9.90
Which should you choose?
Which is better: Qwen2.5-VL 72B Instruct, Aion-RP 1.0 (8B) or MiniMax M1 80K?
It is close. Our weighted score puts them within 2 points (MiniMax M1 80K 47/100, Qwen2.5-VL 72B Instruct 44/100, Aion-RP 1.0 (8B) 24/100), so choose by what matters most for your work: Qwen2.5-VL 72B Instruct on price and MiniMax M1 80K for long inputs. 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, Qwen2.5-VL 72B Instruct, Aion-RP 1.0 (8B) or MiniMax M1 80K?
Qwen2.5-VL 72B Instruct is cheaper at $0.905 input / $1.00 output per million tokens (median across 6 API providers). MiniMax M1 80K costs $0.55 input / $2.20 output per million tokens (median across 5 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 $0.963 for MiniMax M1 80K (1× as much) and $1.00 for Aion-RP 1.0 (8B) (1.1× as much).
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, Aion-RP 1.0 (8B) has not been scored yet and MiniMax M1 80K has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5-VL 72B Instruct, Aion-RP 1.0 (8B) and MiniMax M1 80K 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?
MiniMax M1 80K has the largest context window at 1,000,000 tokens, against 131,072 for Qwen2.5-VL 72B Instruct and 32,768 for Aion-RP 1.0 (8B). Maximum output per response: Qwen2.5-VL 72B Instruct up to 8,192, Aion-RP 1.0 (8B) up to 29,491, MiniMax M1 80K up to 80,000 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5-VL 72B Instruct accepts text and images; Aion-RP 1.0 (8B) accepts text; MiniMax M1 80K 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 (Apache-2.0), so you can self-host them.
Which is newer?
MiniMax M1 80K is the newest, released Jun 17, 2025. Aion-RP 1.0 (8B) came out Feb 4, 2025; Qwen2.5-VL 72B Instruct came out Jan 26, 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.
