Claude Opus 4.1 vs Aya Vision 32B vs o3-pro
Too close to call on our weighted score (Claude Opus 4.1 55, o3-pro 55, Aya Vision 32B 15). The right pick depends on what you value most.
AnthropicClaude Opus 4.1
55/100- ECI144.1
- Price$15.00 / $75.00
- Context200K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
OpenAIo3-pro
55/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
Too close to call
It is close. Our weighted score puts them within a point (Claude Opus 4.1 55/100, o3-pro 55/100, Aya Vision 32B 15/100), so choose by what matters most for your work: Claude Opus 4.1 on price. 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 priceClaude Opus 4.1Claude Opus 4.1 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
- Longest contextClaude Opus 4.1 and o3-proClaude Opus 4.1 200,000 · o3-pro 200,000 · Aya Vision 32B 16,000 tokens
- Widest inputsClaude Opus 4.1Claude Opus 4.1: Text, Images, PDFs · Aya Vision 32B: Text, Images · o3-pro: Text, Images
- Self-hostingAya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Claude Opus 4.1 | Aya Vision 32B | o3-pro |
|---|---|---|---|---|
| Inputs & features | 60% | 70 | 25 | 70 |
| Context window | 40% | 32 | 0 | 32 |
| Overall | 100% | 55/100 | 15/100 | 55/100 |
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 | Claude Opus 4.1Anthropic | Aya Vision 32BCohere | o3-proOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 144.1 | — | 147.4 (best) |
| ECI rank | #81 of 148 | — | #60 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 77.3% | — | — |
| FrontierMath Tiers 1–3Research-level mathematics | 12.6% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 68.9% | — | — |
| SWE-bench VerifiedFixing real GitHub issues | 73.4% | — | — |
| Price per million tokens | |||
| Input | $15.00 (best) | — | $20.00 |
| Output | $75.00 (best) | — | $80.00 |
| Cached input | — | — | — |
| Blended (3:1) | $30.00 (best) | — | $35.00 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 14 providers | — | Official OpenAI API |
| Limits | |||
| Context window | 200,000 tokens (best) | 16,000 tokens | 200,000 tokens (best) |
| Max output | 32,000 tokens | 4,000 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yeslow · medium · high |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | — | c4ai-aya-vision-32b | o3-pro |
| API providers | 14 (best) | 1 | 6 |
| Released | Aug 5, 2025 | Mar 4, 2025 | Jun 10, 2025 |
| Knowledge cutoff | Mar 31, 2025 | — | May 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Opus 4.1$300.00
- Aya Vision 32B—
- o3-pro$360.00
Which should you choose?
Which is better: Claude Opus 4.1, Aya Vision 32B or o3-pro?
It is close. Our weighted score puts them within a point (Claude Opus 4.1 55/100, o3-pro 55/100, Aya Vision 32B 15/100), so choose by what matters most for your work: Claude Opus 4.1 on price. 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, Claude Opus 4.1, Aya Vision 32B or o3-pro?
Claude Opus 4.1 is cheaper at $15.00 input / $75.00 output per million tokens (median across 14 API providers). o3-pro costs $20.00 input / $80.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $30.00 per million tokens for Claude Opus 4.1 versus $35.00 for o3-pro (1.2× as much). 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. Claude Opus 4.1 has an ECI of 144.1, Aya Vision 32B has not been scored yet and o3-pro has an ECI of 147.4.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Vision 32B and o3-pro 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?
Claude Opus 4.1 and o3-pro have the largest context windows (200,000 and 200,000 tokens), against 16,000 for Aya Vision 32B. Maximum output per response: Claude Opus 4.1 up to 32,000, Aya Vision 32B up to 4,000, o3-pro up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Claude Opus 4.1 accepts text, images and PDFs; Aya Vision 32B accepts text and images; o3-pro accepts text and images. Claude Opus 4.1 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; Claude Opus 4.1 and o3-pro is proprietary.
Which is newer?
Claude Opus 4.1 is the newest, released Aug 5, 2025. o3-pro came out Jun 10, 2025; Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: Claude Opus 4.1 Mar 31, 2025, o3-pro May 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.
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