o1-pro vs Aya Vision 32B vs ALLaM-2-7b
o1-pro comes out ahead, 55 to 15 and 0 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIo1-pro
55/100- ECI—
- Price$150.00 / $600.00
- Context200K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
o1-pro is our pick
o1-pro is the better all-round choice, scoring 55/100 against Aya Vision 32B (15) 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 priceo1-proo1-pro $262.50 per 1M tokens (3:1 blend) · Aya Vision 32B and ALLaM-2-7b unpriced
- Longest contexto1-proo1-pro 200,000 · Aya Vision 32B 16,000 · ALLaM-2-7b 4,096 tokens
- Widest inputso1-pro and Aya Vision 32Bo1-pro: Text, Images · Aya Vision 32B: Text, Images · ALLaM-2-7b: Text
- Self-hostingAya Vision 32B and ALLaM-2-7bPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | o1-pro | Aya Vision 32B | ALLaM-2-7b |
|---|---|---|---|---|
| Inputs & features | 60% | 70 | 25 | 0 |
| Context window | 40% | 32 | 0 | 0 |
| Overall | 100% | 55/100 | 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 | o1-proOpenAI | Aya Vision 32BCohere | ALLaM-2-7bSDAIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $150.00 | — | — |
| Output | $600.00 | — | — |
| Cached input | — | — | — |
| Blended (3:1) | $262.50 | — | — |
| Long-context rate | Same rate | — | — |
| Price source | Official OpenAI API | — | — |
| Limits | |||
| Context window | 200,000 tokens (best) | 16,000 tokens | 4,096 tokens |
| Max output | 100,000 tokens (best) | 4,000 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | No | No |
| Tool calling | Yes | No | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | OpenCC-BY-NC-4.0 | Open |
| API model ID | o1-pro | c4ai-aya-vision-32b | — |
| API providers | 5 (best) | 1 | 2 |
| Released | Mar 19, 2025 | Mar 4, 2025 | Jan 23, 2025 |
| Knowledge cutoff | Sep 2023 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o1-pro$2,700
- Aya Vision 32B—
- ALLaM-2-7b—
Which should you choose?
Which is better: o1-pro, Aya Vision 32B or ALLaM-2-7b?
o1-pro is the better all-round choice, scoring 55/100 against Aya Vision 32B (15) 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, o1-pro, Aya Vision 32B or ALLaM-2-7b?
o1-pro is cheaper at $150.00 input / $600.00 output per million tokens (official OpenAI API price). . At a typical mix of three input tokens to one output token, that is $262.50 per million tokens for o1-pro versus . Aya Vision 32B and 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. o1-pro has not been scored yet, Aya Vision 32B 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 o1-pro, Aya Vision 32B 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 Aya Vision 32B and ALLaM-2-7b does not support tool calling, which most coding agents need.
Which has the bigger context window?
o1-pro has the largest context window at 200,000 tokens, against 16,000 for Aya Vision 32B and 4,096 for ALLaM-2-7b. Maximum output per response: o1-pro up to 100,000, Aya Vision 32B up to 4,000, ALLaM-2-7b up to 4,096 tokens.
Which can read images, PDFs, audio or video?
o1-pro accepts text and images; Aya Vision 32B accepts text and images; ALLaM-2-7b accepts text. o1-pro handles the widest range of inputs.
Are any of these open source?
Aya Vision 32B and ALLaM-2-7b publishes its weights (CC-BY-NC-4.0) and can be self-hosted; o1-pro is proprietary.
Which is newer?
o1-pro is the newest, released Mar 19, 2025. Aya Vision 32B came out Mar 4, 2025; ALLaM-2-7b came out Jan 23, 2025. Knowledge cutoff: o1-pro Sep 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 Oct 4, 2026.
