Kimi K2 Thinking Turbo vs Aya Vision 32B vs GPT-5.1 Chat
GPT-5.1 Chat comes out ahead, 52 to 36 and 15 on our weighted score, and it is the cheaper option too.
Moonshot AIKimi K2 Thinking Turbo
36/100- ECI—
- Price—
- Context262K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
- Our pick
OpenAIGPT-5.1 Chat
52/100- ECI—
- Price$1.25 / $10.00
- Context128K
GPT-5.1 Chat is our pick
GPT-5.1 Chat is the better all-round choice, scoring 52/100 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 priceGPT-5.1 ChatGPT-5.1 Chat $3.44 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 · GPT-5.1 Chat 128,000 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32B and GPT-5.1 ChatKimi K2 Thinking Turbo: Text · Aya Vision 32B: Text, Images · GPT-5.1 Chat: Text, Images
- Self-hostingKimi K2 Thinking Turbo and Aya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Kimi K2 Thinking Turbo | Aya Vision 32B | GPT-5.1 Chat |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 70 |
| Context window | 40% | 37 | 0 | 24 |
| Overall | 100% | 36/100 | 15/100 | 52/100 |
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 | GPT-5.1 ChatOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | — | $1.25 |
| Output | — | — | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | — | $3.44 |
| Long-context rate | — | — | Same rate |
| Price source | — | — | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 16,000 tokens | 128,000 tokens |
| Max output | 262,144 tokens (best) | 4,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | — | c4ai-aya-vision-32b | — |
| API providers | — | 1 | 2 (best) |
| Released | Nov 6, 2025 | Mar 4, 2025 | Nov 13, 2025 |
| Knowledge cutoff | Aug 2024 | — | Sep 30, 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—
- GPT-5.1 Chat$32.50
Which should you choose?
Which is better: Kimi K2 Thinking Turbo, Aya Vision 32B or GPT-5.1 Chat?
GPT-5.1 Chat is the better all-round choice, scoring 52/100 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, Kimi K2 Thinking Turbo, Aya Vision 32B or GPT-5.1 Chat?
GPT-5.1 Chat is cheaper at $1.25 input / $10.00 output per million tokens (median across 2 API providers). . At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5.1 Chat 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. Kimi K2 Thinking Turbo has not been scored yet, Aya Vision 32B has not been scored yet and GPT-5.1 Chat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Thinking Turbo, Aya Vision 32B and GPT-5.1 Chat 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 128,000 for GPT-5.1 Chat and 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, GPT-5.1 Chat up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking Turbo accepts text; Aya Vision 32B accepts text and images; GPT-5.1 Chat accepts text and images. Aya Vision 32B 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; GPT-5.1 Chat is proprietary.
Which is newer?
GPT-5.1 Chat is the newest, released Nov 13, 2025. Kimi K2 Thinking Turbo came out Nov 6, 2025; Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: Kimi K2 Thinking Turbo Aug 2024, GPT-5.1 Chat Sep 30, 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.
