o1-pro vs Kimi K2 Thinking Turbo vs Aya Vision 32B
o1-pro comes out ahead, 55 to 36 and 15 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIo1-pro
55/100- ECI—
- Price$150.00 / $600.00
- Context200K
Moonshot AIKimi K2 Thinking Turbo
36/100- ECI—
- Price—
- Context262K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
o1-pro is our pick
o1-pro is the better all-round choice, scoring 55/100 against Kimi K2 Thinking Turbo (36) and Aya Vision 32B (15). It leads on inputs & features. Kimi K2 Thinking Turbo wins on 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) · Kimi K2 Thinking Turbo and Aya Vision 32B unpriced
- Longest contextKimi K2 Thinking TurboKimi K2 Thinking Turbo 262,144 · o1-pro 200,000 · Aya Vision 32B 16,000 tokens
- Widest inputso1-pro and Aya Vision 32Bo1-pro: Text, Images · Kimi K2 Thinking Turbo: Text · Aya Vision 32B: Text, Images
- Self-hostingKimi K2 Thinking Turbo and Aya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | o1-pro | Kimi K2 Thinking Turbo | Aya Vision 32B |
|---|---|---|---|---|
| Inputs & features | 60% | 70 | 35 | 25 |
| Context window | 40% | 32 | 37 | 0 |
| Overall | 100% | 55/100 | 36/100 | 15/100 |
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 | Kimi K2 Thinking TurboMoonshot AI | Aya Vision 32BCohere |
|---|---|---|---|
| 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 | 262,144 tokens (best) | 16,000 tokens |
| Max output | 100,000 tokens | 262,144 tokens (best) | 4,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | OpenCC-BY-NC-4.0 |
| API model ID | o1-pro | — | c4ai-aya-vision-32b |
| API providers | 5 (best) | — | 1 |
| Released | Mar 19, 2025 | Nov 6, 2025 | Mar 4, 2025 |
| Knowledge cutoff | Sep 2023 | Aug 2024 | — |
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
- Kimi K2 Thinking Turbo—
- Aya Vision 32B—
Which should you choose?
Which is better: o1-pro, Kimi K2 Thinking Turbo or Aya Vision 32B?
o1-pro is the better all-round choice, scoring 55/100 against Kimi K2 Thinking Turbo (36) and Aya Vision 32B (15). It leads on inputs & features. Kimi K2 Thinking Turbo wins on 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, Kimi K2 Thinking Turbo or Aya Vision 32B?
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 . Kimi K2 Thinking Turbo and Aya Vision 32B 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, Kimi K2 Thinking Turbo has not been scored yet and Aya Vision 32B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for o1-pro, Kimi K2 Thinking Turbo and Aya Vision 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Vision 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Kimi K2 Thinking Turbo has the largest context window at 262,144 tokens, against 200,000 for o1-pro and 16,000 for Aya Vision 32B. Maximum output per response: o1-pro up to 100,000, Kimi K2 Thinking Turbo up to 262,144, Aya Vision 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
o1-pro accepts text and images; Kimi K2 Thinking Turbo accepts text; Aya Vision 32B accepts text and images. o1-pro handles the widest range of inputs.
Are any of these open source?
Kimi K2 Thinking Turbo and Aya Vision 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; o1-pro is proprietary.
Which is newer?
Kimi K2 Thinking Turbo is the newest, released Nov 6, 2025. o1-pro came out Mar 19, 2025; Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: o1-pro Sep 2023, Kimi K2 Thinking Turbo Aug 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.
