Aya Vision 32B vs Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite comes out ahead, 78 to 15 on our weighted score.
Cohere
Aya Vision 32B
15/100- ECI—
- Price—
- Context16K
- Our pick
Google
Gemini 2.0 Flash-Lite
78/100- ECI—
- Price—
- Context1.05M
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Make it a three-way comparison.
Gemini 2.0 Flash-Lite is our pick
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 78/100 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 contextGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite 1,048,576 · Aya Vision 32B 16,000 tokens
- Widest inputsGemini 2.0 Flash-LiteAya Vision 32B: Text, Images · Gemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingAya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Aya Vision 32B | Gemini 2.0 Flash-Lite |
|---|---|---|---|
| Inputs & features | 60% | 25 | 90 |
| Context window | 40% | 0 | 61 |
| Overall | 100% | 15/100 | 78/100 |
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 | ||
|---|---|---|
| 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 | 16,000 tokens | 1,048,576 tokens (best) |
| Max output | 4,000 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | c4ai-aya-vision-32b | — |
| API providers | 1 | — |
| Released | Mar 4, 2025 | Dec 11, 2024 |
| Knowledge cutoff | — | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Aya Vision 32B—
Gemini 2.0 Flash-Lite—
Which should you choose?
Which is better: Aya Vision 32B or Gemini 2.0 Flash-Lite?
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 78/100 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, Aya Vision 32B or Gemini 2.0 Flash-Lite?
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. Aya Vision 32B has not been scored yet and Gemini 2.0 Flash-Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Vision 32B and Gemini 2.0 Flash-Lite 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?
Gemini 2.0 Flash-Lite has the largest context window at 1,048,576 tokens, against 16,000 for Aya Vision 32B. Maximum output per response: Aya Vision 32B up to 4,000, Gemini 2.0 Flash-Lite up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aya Vision 32B accepts text and images; Gemini 2.0 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.0 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Aya Vision 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Gemini 2.0 Flash-Lite is proprietary.
Which is newer?
Aya Vision 32B is the newest, released Mar 4, 2025. Gemini 2.0 Flash-Lite came out Dec 11, 2024. Knowledge cutoff: Gemini 2.0 Flash-Lite Jun 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.