Claude Haiku 4.5 vs o3-pro vs Claude Opus 4.1
Claude Haiku 4.5 comes out ahead, 58 to 51 and 49 on our weighted score, and it is the cheaper option too.
- Our pick
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
OpenAIo3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
- Anthropic
Claude Opus 4.1
49/100- ECI144.1
- Price$15.00 / $75.00
- Context200K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against o3-pro (51) and Claude Opus 4.1 (49). It leads on price and inputs & features. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo3-proCapabilities Index (ECI): o3-pro 147.4 · Claude Opus 4.1 144.1 · Claude Haiku 4.5 142.4
- Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · Claude Opus 4.1 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameClaude Haiku 4.5 200,000 · o3-pro 200,000 · Claude Opus 4.1 200,000 tokens
- Widest inputsClaude Haiku 4.5 and Claude Opus 4.1Claude Haiku 4.5: Text, Images, PDFs · o3-pro: Text, Images · Claude Opus 4.1: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Haiku 4.5 | o3-pro | Claude Opus 4.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 75 | 71 |
| Price | 25% | 36 | 0 | 0 |
| Inputs & features | 15% | 80 | 70 | 70 |
| Context window | 10% | 32 | 32 | 32 |
| Overall | 100% | 58/100 | 51/100 | 49/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 4.5Anthropic | o3-proOpenAI | Claude Opus 4.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 | 147.4 (best) | 144.1 |
| ECI rank | #90 of 148 | #60 of 148 (best) | #81 of 148 |
| GPQA DiamondGraduate-level science questions | 71.2% | — | 77.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 12.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | — | 68.9% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 73.4% |
| SimpleQA VerifiedShort factual questions | 13.2% | — | — |
| Price per million tokens | |||
| Input | $1.00 (best) | $20.00 | $15.00 |
| Output | $5.00 (best) | $80.00 | $75.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $2.00 (best) | $35.00 | $30.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Official OpenAI API | Median of 14 providers |
| Limits | |||
| Context window | 200,000 tokens | 200,000 tokens | 200,000 tokens |
| Max output | 64,000 tokens | 100,000 tokens (best) | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | claude-haiku-4-5 | o3-pro | — |
| API providers | 34 (best) | 6 | 14 |
| Released | Oct 15, 2025 | Jun 10, 2025 | Aug 5, 2025 |
| Knowledge cutoff | Feb 28, 2025 | May 2024 | Mar 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Haiku 4.5$20.00
- o3-pro$360.00
- Claude Opus 4.1$300.00
Which should you choose?
Which is better: Claude Haiku 4.5, o3-pro or Claude Opus 4.1?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against o3-pro (51) and Claude Opus 4.1 (49). It leads on price and inputs & features. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, o3-pro or Claude Opus 4.1?
Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 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 $2.00 per million tokens for Claude Haiku 4.5 versus $30.00 for Claude Opus 4.1 (15× as much) and $35.00 for o3-pro (18× as much).
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Claude Opus 4.1 144.1 (#81 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). The confidence ranges of the top two overlap (145.8–149.7 vs 141.6–146.0), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5 and o3-pro yet, so there is no like-for-like coding score. On overall capability, o3-pro 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 Haiku 4.5, o3-pro and Claude Opus 4.1 share the same 200,000-token context window. Maximum output per response: Claude Haiku 4.5 up to 64,000, o3-pro up to 100,000, Claude Opus 4.1 up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; o3-pro accepts text and images; Claude Opus 4.1 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
No. Claude Haiku 4.5, o3-pro and Claude Opus 4.1 are proprietary and only available through APIs and apps.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Claude Opus 4.1 came out Aug 5, 2025; o3-pro came out Jun 10, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, o3-pro May 2024, Claude Opus 4.1 Mar 31, 2025.
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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