Kimi K2 Thinking Turbo vs Aya Vision 32B
Kimi K2 Thinking Turbo comes out ahead, 36 to 15 on our weighted score.
- Our pick
Moonshot AIKimi K2 Thinking Turbo
36/100- ECI—
- Price—
- Context262K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
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Make it a three-way comparison.
Kimi K2 Thinking Turbo is our pick
Kimi K2 Thinking Turbo is the better all-round choice, scoring 36/100 against Aya Vision 32B (15). 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
- Longest contextKimi K2 Thinking TurboKimi K2 Thinking Turbo 262,144 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32BKimi K2 Thinking Turbo: Text · Aya Vision 32B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Kimi K2 Thinking Turbo | Aya Vision 32B |
|---|---|---|---|
| Inputs & features | 60% | 35 | 25 |
| Context window | 40% | 37 | 0 |
| Overall | 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 | Kimi K2 Thinking TurboMoonshot AI | Aya Vision 32BCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | — |
| Output | — | — |
| Cached input | — | — |
| Blended (3:1) | — | — |
| Long-context rate | — | — |
| Price source | — | — |
| Limits | ||
| Context window | 262,144 tokens (best) | 16,000 tokens |
| Max output | 262,144 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenCC-BY-NC-4.0 |
| API model ID | — | c4ai-aya-vision-32b |
| API providers | — | 1 |
| Released | Nov 6, 2025 | Mar 4, 2025 |
| Knowledge cutoff | 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.
- Kimi K2 Thinking Turbo—
- Aya Vision 32B—
Which should you choose?
Which is better: Kimi K2 Thinking Turbo or Aya Vision 32B?
Kimi K2 Thinking Turbo is the better all-round choice, scoring 36/100 against Aya Vision 32B (15). 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, Kimi K2 Thinking Turbo or Aya Vision 32B?
None of these models has a published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models 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 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 16,000 for Aya Vision 32B. Maximum output per response: Kimi K2 Thinking Turbo up to 262,144, Aya Vision 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking Turbo accepts text; Aya Vision 32B accepts text and images. Aya Vision 32B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Kimi K2 Thinking Turbo is the newest, released Nov 6, 2025. Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: 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.
