Claude Opus 4 vs Gemini 2.5 Pro vs o3-pro
Gemini 2.5 Pro comes out ahead, 63 to 51 and 48 on our weighted score, and it is the cheaper option too.
AnthropicClaude Opus 4
48/100- ECI142.7
- Price$15.00 / $75.00
- Context200K
- Our pick
GoogleGemini 2.5 Pro
63/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
OpenAIo3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3-pro (51) and Claude Opus 4 (48). It leads on price, inputs & features and context window. 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 · Gemini 2.5 Pro 145.3 · Claude Opus 4 142.7
- Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · Claude Opus 4 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Claude Opus 4 200,000 · o3-pro 200,000 tokens
- Widest inputsGemini 2.5 ProClaude Opus 4: Text, Images, PDFs · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video · o3-pro: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Opus 4 | Gemini 2.5 Pro | o3-pro |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 72 | 75 |
| Price | 25% | 0 | 24 | 0 |
| Inputs & features | 15% | 70 | 100 | 70 |
| Context window | 10% | 32 | 61 | 32 |
| Overall | 100% | 48/100 | 63/100 | 51/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Opus 4Anthropic | Gemini 2.5 ProGoogle | o3-proOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.7 | 145.3 | 147.4 (best) |
| ECI rank | #87 of 148 | #78 of 148 | #60 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 76.3% | 85.3% (best) | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 24.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 64.4% | 84.7% (best) | — |
| SWE-bench VerifiedFixing real GitHub issues | 70.7% (best) | 57.6% | — |
| Price per million tokens | |||
| Input | $15.00 | $1.25 (best) | $20.00 |
| Output | $75.00 | $10.00 (best) | $80.00 |
| Cached input | — | $0.125 | — |
| Blended (3:1) | $30.00 | $3.44 (best) | $35.00 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 | Same rate |
| Price source | Median of 5 providers | Official Google API | Official OpenAI API |
| Limits | |||
| Context window | 200,000 tokens | 1,048,576 tokens (best) | 200,000 tokens |
| Max output | 32,000 tokens | 65,536 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gemini-2.5-pro | o3-pro |
| API providers | 5 | 22 (best) | 6 |
| Released | May 22, 2025 | Jun 17, 2025 | Jun 10, 2025 |
| Knowledge cutoff | Mar 31, 2025 | Jan 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$300.00
- Gemini 2.5 Pro$32.50
- o3-pro$360.00
Which should you choose?
Which is better: Claude Opus 4, Gemini 2.5 Pro or o3-pro?
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o3-pro (51) and Claude Opus 4 (48). It leads on price, inputs & features and context window. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Opus 4, Gemini 2.5 Pro or o3-pro?
Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). Claude Opus 4 costs $15.00 input / $75.00 output per million tokens (median across 5 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 $3.44 per million tokens for Gemini 2.5 Pro versus $30.00 for Claude Opus 4 (8.7× as much) and $35.00 for o3-pro (10× as much).
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Gemini 2.5 Pro 145.3 (#78 of 148) and Claude Opus 4 142.7 (#87 of 148). The confidence ranges of the top two overlap (145.8–149.7 vs 143.6–146.9), 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, 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?
Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 200,000 for Claude Opus 4 and 200,000 for o3-pro. Maximum output per response: Claude Opus 4 up to 32,000, Gemini 2.5 Pro up to 65,536, o3-pro up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Claude Opus 4 accepts text, images and PDFs; Gemini 2.5 Pro accepts text, images, PDFs, audio and video; o3-pro accepts text and images. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. Claude Opus 4, Gemini 2.5 Pro and o3-pro are proprietary and only available through APIs and apps.
Which is newer?
Gemini 2.5 Pro is the newest, released Jun 17, 2025. o3-pro came out Jun 10, 2025; Claude Opus 4 came out May 22, 2025. Knowledge cutoff: Claude Opus 4 Mar 31, 2025, Gemini 2.5 Pro Jan 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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