Phi-4-mini vs Aya Vision 32B
Phi-4-mini comes out ahead, 25 to 15 on our weighted score, and it is the cheaper option too.
- Our pick
MicrosoftPhi-4-mini
25/100- ECI—
- Price$0.075 / $0.30
- Context128K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
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Make it a three-way comparison.
Phi-4-mini is our pick
Phi-4-mini is the better all-round choice, scoring 25/100 against Aya Vision 32B (15). It leads 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 pricePhi-4-miniPhi-4-mini $0.131 per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
- Longest contextPhi-4-miniPhi-4-mini 128,000 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32BPhi-4-mini: Text · Aya Vision 32B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Phi-4-mini | Aya Vision 32B |
|---|---|---|---|
| Inputs & features | 60% | 25 | 25 |
| Context window | 40% | 24 | 0 |
| Overall | 100% | 25/100 | 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 | Phi-4-miniMicrosoft | Aya Vision 32BCohere |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.075 | — |
| Output | $0.30 | — |
| Cached input | — | — |
| Blended (3:1) | $0.131 | — |
| Long-context rate | Same rate | — |
| Price source | Official Azure API | — |
| Limits | ||
| Context window | 128,000 tokens (best) | 16,000 tokens |
| Max output | 4,096 tokens (best) | 4,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenCC-BY-NC-4.0 |
| API model ID | phi-4-mini | c4ai-aya-vision-32b |
| API providers | 1 | 1 |
| Released | Dec 11, 2024 | Mar 4, 2025 |
| Knowledge cutoff | Oct 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Phi-4-mini$1.35
- Aya Vision 32B—
Which should you choose?
Which is better: Phi-4-mini or Aya Vision 32B?
Phi-4-mini is the better all-round choice, scoring 25/100 against Aya Vision 32B (15). It leads 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, Phi-4-mini or Aya Vision 32B?
Phi-4-mini is cheaper at $0.075 input / $0.30 output per million tokens (official Azure API price). . At a typical mix of three input tokens to one output token, that is $0.131 per million tokens for Phi-4-mini versus . Aya Vision 32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Phi-4-mini 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 Phi-4-mini 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?
Phi-4-mini has the largest context window at 128,000 tokens, against 16,000 for Aya Vision 32B. Maximum output per response: Phi-4-mini up to 4,096, Aya Vision 32B up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Phi-4-mini 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?
Aya Vision 32B is the newest, released Mar 4, 2025. Phi-4-mini came out Dec 11, 2024. Knowledge cutoff: Phi-4-mini Oct 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.
