Gemini 2.5 Pro vs o1 vs Claude Opus 4
Gemini 2.5 Pro comes out ahead, 63 to 49 and 48 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemini 2.5 Pro
63/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
OpenAIo1
49/100- ECI141.9
- Price$15.00 / $60.00
- Context200K
AnthropicClaude Opus 4
48/100- ECI142.7
- Price$15.00 / $75.00
- Context200K
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o1 (49) and Claude Opus 4 (48). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 2.5 ProCapabilities Index (ECI): Gemini 2.5 Pro 145.3 · Claude Opus 4 142.7 · o1 141.9
- Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · o1 $26.25 · Claude Opus 4 $30.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · o1 200,000 · Claude Opus 4 200,000 tokens
- Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · o1: Text, Images, PDFs · Claude Opus 4: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.5 Pro | o1 | Claude Opus 4 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 72 | 68 | 69 |
| Price | 25% | 24 | 0 | 0 |
| Inputs & features | 15% | 100 | 80 | 70 |
| Context window | 10% | 61 | 32 | 32 |
| Overall | 100% | 63/100 | 49/100 | 48/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 ProGoogle | o1OpenAI | Claude Opus 4Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.3 (best) | 141.9 | 142.7 |
| ECI rank | #78 of 148 (best) | #92 of 148 | #87 of 148 |
| GPQA DiamondGraduate-level science questions | 85.3% (best) | 76.8% | 76.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 24.6% (best) | 14.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.7% (best) | 73.3% | 64.4% |
| SWE-bench VerifiedFixing real GitHub issues | 57.6% | — | 70.7% (best) |
| SimpleQA VerifiedShort factual questions | — | 41.1% | — |
| Price per million tokens | |||
| Input | $1.25 (best) | $15.00 | $15.00 |
| Output | $10.00 (best) | $60.00 | $75.00 |
| Cached input | $0.125 (best) | $7.50 | — |
| Blended (3:1) | $3.44 (best) | $26.25 | $30.00 |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Same rate |
| Price source | Official Google API | Official OpenAI API | Median of 5 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 200,000 tokens | 200,000 tokens |
| Max output | 65,536 tokens | 100,000 tokens (best) | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | Yes | No | No |
| Video | Yes | 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 | gemini-2.5-pro | o1 | — |
| API providers | 22 (best) | 9 | 5 |
| Released | Jun 17, 2025 | Dec 5, 2024 | May 22, 2025 |
| Knowledge cutoff | Jan 2025 | Sep 2023 | 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.
- Gemini 2.5 Pro$32.50
- o1$270.00
- Claude Opus 4$300.00
Which should you choose?
Which is better: Gemini 2.5 Pro, o1 or Claude Opus 4?
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against o1 (49) and Claude Opus 4 (48). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 2.5 Pro, o1 or Claude Opus 4?
Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). o1 costs $15.00 input / $60.00 output per million tokens (official OpenAI API price); Claude Opus 4 costs $15.00 input / $75.00 output per million tokens (median across 5 API providers). 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 $26.25 for o1 (7.6× as much) and $30.00 for Claude Opus 4 (8.7× as much).
Which scores higher on benchmarks?
Gemini 2.5 Pro scores higher on the Capabilities Index (ECI): Gemini 2.5 Pro 145.3 (#78 of 148), Claude Opus 4 142.7 (#87 of 148) and o1 141.9 (#92 of 148). The confidence ranges of the top two overlap (143.6–146.9 vs 140.2–144.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, o1 76.8%, Claude Opus 4 76.3%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, o1 73.3%, Claude Opus 4 64.4%.
Which is better for coding?
There are no published SWE-bench Verified results for o1 yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 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 o1 and 200,000 for Claude Opus 4. Maximum output per response: Gemini 2.5 Pro up to 65,536, o1 up to 100,000, Claude Opus 4 up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro accepts text, images, PDFs, audio and video; o1 accepts text, images and PDFs; Claude Opus 4 accepts text, images and PDFs. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro, o1 and Claude Opus 4 are proprietary and only available through APIs and apps.
Which is newer?
Gemini 2.5 Pro is the newest, released Jun 17, 2025. Claude Opus 4 came out May 22, 2025; o1 came out Dec 5, 2024. Knowledge cutoff: Gemini 2.5 Pro Jan 2025, o1 Sep 2023, Claude Opus 4 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.
