Claude Opus 4.1 vs Claude Opus 4.5 vs o3-pro
Claude Opus 4.5 comes out ahead, 55 to 51 and 49 on our weighted score, and it is the cheaper option too.
AnthropicClaude Opus 4.1
49/100- ECI144.1
- Price$15.00 / $75.00
- Context200K
- Our pickAnthropic
Claude Opus 4.5
55/100- ECI150.1
- Price$5.00 / $25.00
- Context200K
OpenAIo3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
Claude Opus 4.5 is our pick
Claude Opus 4.5 is the better all-round choice, scoring 55/100 against o3-pro (51) and Claude Opus 4.1 (49). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 4.5Capabilities Index (ECI): Claude Opus 4.5 150.1 · o3-pro 147.4 · Claude Opus 4.1 144.1
- Lowest priceClaude Opus 4.5Claude Opus 4.5 $10.00 · Claude Opus 4.1 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameClaude Opus 4.1 200,000 · Claude Opus 4.5 200,000 · o3-pro 200,000 tokens
- Widest inputsClaude Opus 4.1 and Claude Opus 4.5Claude Opus 4.1: Text, Images, PDFs · Claude Opus 4.5: Text, Images, PDFs · o3-pro: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Opus 4.1 | Claude Opus 4.5 | o3-pro |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 71 | 78 | 75 |
| Price | 25% | 0 | 2 | 0 |
| Inputs & features | 15% | 70 | 80 | 70 |
| Context window | 10% | 32 | 32 | 32 |
| Overall | 100% | 49/100 | 55/100 | 51/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Opus 4.1Anthropic | Claude Opus 4.5Anthropic | o3-proOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 144.1 | 150.1 (best) | 147.4 |
| ECI rank | #81 of 148 | #48 of 148 (best) | #60 of 148 |
| GPQA DiamondGraduate-level science questions | 77.3% | 86.1% (best) | — |
| FrontierMath Tiers 1–3Research-level mathematics | 12.6% | 34.4% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 68.9% | 86.1% (best) | — |
| SWE-bench VerifiedFixing real GitHub issues | 73.4% | 76.7% (best) | — |
| SimpleQA VerifiedShort factual questions | — | 45.7% | — |
| Price per million tokens | |||
| Input | $15.00 | $5.00 (best) | $20.00 |
| Output | $75.00 | $25.00 (best) | $80.00 |
| Cached input | — | $0.50 | — |
| Blended (3:1) | $30.00 | $10.00 (best) | $35.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 14 providers | Official Anthropic API | Official OpenAI API |
| Limits | |||
| Context window | 200,000 tokens | 200,000 tokens | 200,000 tokens |
| Max output | 32,000 tokens | 64,000 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | claude-opus-4-5 | o3-pro |
| API providers | 14 | 28 (best) | 6 |
| Released | Aug 5, 2025 | Nov 24, 2025 | Jun 10, 2025 |
| Knowledge cutoff | Mar 31, 2025 | May 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
- Claude Opus 4.5$100.00
- o3-pro$360.00
Which should you choose?
Which is better: Claude Opus 4.1, Claude Opus 4.5 or o3-pro?
Claude Opus 4.5 is the better all-round choice, scoring 55/100 against o3-pro (51) and Claude Opus 4.1 (49). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Opus 4.1, Claude Opus 4.5 or o3-pro?
Claude Opus 4.5 is cheaper at $5.00 input / $25.00 output per million tokens (official Anthropic API price). Claude Opus 4.1 costs $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 $10.00 per million tokens for Claude Opus 4.5 versus $30.00 for Claude Opus 4.1 (3× as much) and $35.00 for o3-pro (3.5× as much).
Which scores higher on benchmarks?
Claude Opus 4.5 scores higher on the Capabilities Index (ECI): Claude Opus 4.5 150.1 (#48 of 148), o3-pro 147.4 (#60 of 148) and Claude Opus 4.1 144.1 (#81 of 148). The confidence ranges of the top two overlap (147.9–153.0 vs 145.8–149.7), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for o3-pro yet, so there is no like-for-like coding score. On overall capability, Claude Opus 4.5 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Claude Opus 4.1, Claude Opus 4.5 and o3-pro share the same 200,000-token context window. Maximum output per response: Claude Opus 4.1 up to 32,000, Claude Opus 4.5 up to 64,000, o3-pro up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Claude Opus 4.1 accepts text, images and PDFs; Claude Opus 4.5 accepts text, images and PDFs; o3-pro accepts text and images. Claude Opus 4.1 handles the widest range of inputs.
Are any of these open source?
No. Claude Opus 4.1, Claude Opus 4.5 and o3-pro are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4.5 is the newest, released Nov 24, 2025. Claude Opus 4.1 came out Aug 5, 2025; o3-pro came out Jun 10, 2025. Knowledge cutoff: Claude Opus 4.1 Mar 31, 2025, Claude Opus 4.5 May 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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