o3 vs Gemini 2.5 Pro vs Claude Sonnet 4.5
Gemini 2.5 Pro comes out ahead, 63 to 58 and 55 on our weighted score, and it is the cheaper option too.
OpenAIo3
58/100- ECI146.9
- Price$2.00 / $8.00
- Context200K
- Our pick
GoogleGemini 2.5 Pro
63/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
AnthropicClaude Sonnet 4.5
55/100- ECI146.8
- Price$3.00 / $15.00
- Context200K
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and Claude Sonnet 4.5 (55). It leads on inputs & features and context window. 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 · Gemini 2.5 Pro 145.3
- Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · o3 $3.50 · Claude Sonnet 4.5 $6.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · o3 200,000 · Claude Sonnet 4.5 200,000 tokens
- Widest inputsGemini 2.5 Proo3: Text, Images, PDFs · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video · Claude Sonnet 4.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | o3 | Gemini 2.5 Pro | Claude Sonnet 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 74 | 72 | 74 |
| Price | 25% | 24 | 24 | 13 |
| Inputs & features | 15% | 80 | 100 | 80 |
| Context window | 10% | 32 | 61 | 32 |
| Overall | 100% | 58/100 | 63/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | o3OpenAI | Gemini 2.5 ProGoogle | Claude Sonnet 4.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.9 (best) | 145.3 | 146.8 |
| ECI rank | #63 of 148 (best) | #78 of 148 | #64 of 148 |
| GPQA DiamondGraduate-level science questions | 81.8% | 85.3% (best) | 82.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 33.3% (best) | 24.6% | 23.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.4% | 84.7% (best) | 77.8% |
| SWE-bench VerifiedFixing real GitHub issues | 62.3% | 57.6% | 71.3% (best) |
| SimpleQA VerifiedShort factual questions | 49.4% (best) | — | 30.7% |
| Price per million tokens | |||
| Input | $2.00 | $1.25 (best) | $3.00 |
| Output | $8.00 (best) | $10.00 | $15.00 |
| Cached input | $0.50 | $0.125 (best) | $0.30 |
| Blended (3:1) | $3.50 | $3.44 (best) | $6.00 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Official OpenAI API | Official Google API | Official Anthropic API |
| Limits | |||
| Context window | 200,000 tokens | 1,048,576 tokens (best) | 200,000 tokens |
| Max output | 100,000 tokens (best) | 65,536 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | o3 | gemini-2.5-pro | claude-sonnet-4-5 |
| API providers | 18 | 22 | 28 (best) |
| Released | Apr 16, 2025 | Jun 17, 2025 | Sep 29, 2025 |
| Knowledge cutoff | May 2024 | Jan 2025 | 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.
- o3$36.00
- Gemini 2.5 Pro$32.50
- Claude Sonnet 4.5$60.00
Which should you choose?
Which is better: o3, Gemini 2.5 Pro or Claude Sonnet 4.5?
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3 (58) and Claude Sonnet 4.5 (55). It leads on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, o3, Gemini 2.5 Pro or Claude Sonnet 4.5?
Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 per million tokens for Gemini 2.5 Pro versus $3.50 for o3 (1× as much) and $6.00 for Claude Sonnet 4.5 (1.7× 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 Gemini 2.5 Pro 145.3 (#78 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 — Gemini 2.5 Pro 85.3%, Claude Sonnet 4.5 82.3%, o3 81.8%; FrontierMath Tiers 1–3 — o3 33.3%, Gemini 2.5 Pro 24.6%, Claude Sonnet 4.5 23.9%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, o3 84.4%, Claude Sonnet 4.5 77.8%; SWE-bench Verified — Claude Sonnet 4.5 71.3%, o3 62.3%, Gemini 2.5 Pro 57.6%.
Which is better for coding?
Claude Sonnet 4.5 resolves more real GitHub issues on SWE-bench Verified: Claude Sonnet 4.5 71.3%, o3 62.3% and Gemini 2.5 Pro 57.6%. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 200,000 for o3 and 200,000 for Claude Sonnet 4.5. Maximum output per response: o3 up to 100,000, Gemini 2.5 Pro up to 65,536, Claude Sonnet 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
o3 accepts text, images and PDFs; Gemini 2.5 Pro accepts text, images, PDFs, audio and video; Claude Sonnet 4.5 accepts text, images and PDFs. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. o3, Gemini 2.5 Pro and Claude Sonnet 4.5 are proprietary and only available through APIs and apps.
Which is newer?
Claude Sonnet 4.5 is the newest, released Sep 29, 2025. Gemini 2.5 Pro came out Jun 17, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: o3 May 2024, Gemini 2.5 Pro Jan 2025, 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.
