Claude Haiku 4.5 vs o3 vs Claude Sonnet 4.5
Too close to call on our weighted score (Claude Haiku 4.5 58, o3 58, Claude Sonnet 4.5 55). The right pick depends on what you value most.
Anthropic
Claude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
OpenAI
o3
58/100- ECI146.9
- Price$2.00 / $8.00
- Context200K
Anthropic
Claude Sonnet 4.5
55/100- ECI146.8
- Price$3.00 / $15.00
- Context200K
Too close to call
It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, o3 58/100, Claude Sonnet 4.5 55/100), so choose by what matters most for your work: o3 for raw capability and Claude Haiku 4.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo3Capabilities Index (ECI): o3 146.9 · Claude Sonnet 4.5 146.8 · Claude Haiku 4.5 142.4
- Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · o3 $3.50 · Claude Sonnet 4.5 $6.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameClaude Haiku 4.5 200,000 · o3 200,000 · Claude Sonnet 4.5 200,000 tokens
- Widest inputsSame inputsClaude Haiku 4.5: Text, Images, PDFs · o3: Text, Images, PDFs · Claude Sonnet 4.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Haiku 4.5 | o3 | Claude Sonnet 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 74 | 74 |
| Price | 25% | 36 | 24 | 13 |
| Inputs & features | 15% | 80 | 80 | 80 |
| Context window | 10% | 32 | 32 | 32 |
| Overall | 100% | 58/100 | 58/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 | 146.9 (best) | 146.8 |
| ECI rank | #90 of 148 | #63 of 148 (best) | #64 of 148 |
| GPQA DiamondGraduate-level science questions | 71.2% | 81.8% | 82.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 33.3% (best) | 23.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | 84.4% (best) | 77.8% |
| SWE-bench VerifiedFixing real GitHub issues | — | 62.3% | 71.3% (best) |
| SimpleQA VerifiedShort factual questions | 13.2% | 49.4% (best) | 30.7% |
| Price per million tokens | |||
| Input | $1.00 (best) | $2.00 | $3.00 |
| Output | $5.00 (best) | $8.00 | $15.00 |
| Cached input | $0.10 (best) | $0.50 | $0.30 |
| Blended (3:1) | $2.00 (best) | $3.50 | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Official OpenAI API | Official Anthropic API |
| Limits | |||
| Context window | 200,000 tokens | 200,000 tokens | 200,000 tokens |
| Max output | 64,000 tokens | 100,000 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | claude-haiku-4-5 | o3 | claude-sonnet-4-5 |
| API providers | 34 (best) | 18 | 28 |
| Released | Oct 15, 2025 | Apr 16, 2025 | Sep 29, 2025 |
| Knowledge cutoff | Feb 28, 2025 | May 2024 | Jul 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$36.00
Claude Sonnet 4.5$60.00
Which should you choose?
Which is better: Claude Haiku 4.5, o3 or Claude Sonnet 4.5?
It is close. Our weighted score puts them within a point (Claude Haiku 4.5 58/100, o3 58/100, Claude Sonnet 4.5 55/100), so choose by what matters most for your work: o3 for raw capability and Claude Haiku 4.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, o3 or Claude Sonnet 4.5?
Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 output per million tokens (official Anthropic API price). o3 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price); Claude Sonnet 4.5 costs $3.00 input / $15.00 output per million tokens (official Anthropic 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 $3.50 for o3 (1.8× as much) and $6.00 for Claude Sonnet 4.5 (3× as much).
Which scores higher on benchmarks?
o3 scores higher on the Capabilities Index (ECI): o3 146.9 (#63 of 148), Claude Sonnet 4.5 146.8 (#64 of 148) and Claude Haiku 4.5 142.4 (#90 of 148). The confidence ranges of the top two overlap (144.9–148.6 vs 145.3–148.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 4.5 82.3%, o3 81.8%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — o3 84.4%, Claude Sonnet 4.5 77.8%, Claude Haiku 4.5 66.7%; SimpleQA Verified — o3 49.4%, Claude Sonnet 4.5 30.7%, Claude Haiku 4.5 13.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, o3 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 and Claude Sonnet 4.5 share the same 200,000-token context window. Maximum output per response: Claude Haiku 4.5 up to 64,000, o3 up to 100,000, Claude Sonnet 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; o3 accepts text, images and PDFs; Claude Sonnet 4.5 accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
No. Claude Haiku 4.5, o3 and Claude Sonnet 4.5 are proprietary and only available through APIs and apps.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Claude Sonnet 4.5 came out Sep 29, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, o3 May 2024, Claude Sonnet 4.5 Jul 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.