GPT-5 Pro vs Gemini 3 Pro Preview vs Claude Opus 4.5
Gemini 3 Pro Preview comes out ahead, 67 to 55 and 54 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5 Pro
54/100- ECI150.3
- Price$15.00 / $120.00
- Context400K
- Our pick
GoogleGemini 3 Pro Preview
67/100- ECI153.0
- Price$2.00 / $12.00
- Context1.05M
AnthropicClaude Opus 4.5
55/100- ECI150.1
- Price$5.00 / $25.00
- Context200K
Gemini 3 Pro Preview is our pick
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against Claude Opus 4.5 (55) and GPT-5 Pro (54). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 3 Pro PreviewCapabilities Index (ECI): Gemini 3 Pro Preview 153.0 · GPT-5 Pro 150.3 · Claude Opus 4.5 150.1
- Lowest priceGemini 3 Pro PreviewGemini 3 Pro Preview $4.50 · Claude Opus 4.5 $10.00 · GPT-5 Pro $41.25 per 1M tokens (3:1 blend)
- Longest contextGemini 3 Pro PreviewGemini 3 Pro Preview 1,048,576 · GPT-5 Pro 400,000 · Claude Opus 4.5 200,000 tokens
- Widest inputsGemini 3 Pro PreviewGPT-5 Pro: Text, Images · Gemini 3 Pro Preview: Text, Images, PDFs, Audio, Video · Claude Opus 4.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5 Pro | Gemini 3 Pro Preview | Claude Opus 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 78 | 82 | 78 |
| Price | 25% | 0 | 19 | 2 |
| Inputs & features | 15% | 70 | 100 | 80 |
| Context window | 10% | 44 | 61 | 32 |
| Overall | 100% | 54/100 | 67/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5 ProOpenAI | Gemini 3 Pro PreviewGoogle | Claude Opus 4.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 150.3 | 153.0 (best) | 150.1 |
| ECI rank | #46 of 148 | #39 of 148 (best) | #48 of 148 |
| GPQA DiamondGraduate-level science questions | — | 92.6% (best) | 86.1% |
| FrontierMath Tiers 1–3Research-level mathematics | 55.8% (best) | — | 34.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 91.4% (best) | 86.1% |
| SWE-bench VerifiedFixing real GitHub issues | — | 72.9% | 76.7% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 45.7% |
| Price per million tokens | |||
| Input | $15.00 | $2.00 (best) | $5.00 |
| Output | $120.00 | $12.00 (best) | $25.00 |
| Cached input | — | — | $0.50 |
| Blended (3:1) | $41.25 | $4.50 (best) | $10.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 2 providers | Official Anthropic API |
| Limits | |||
| Context window | 400,000 tokens | 1,048,576 tokens (best) | 200,000 tokens |
| Max output | 272,000 tokens (best) | 65,536 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yeshigh | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5-pro | — | claude-opus-4-5 |
| API providers | 12 | 3 | 28 (best) |
| Released | Oct 6, 2025 | Nov 18, 2025 | Nov 24, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Jan 2025 | May 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5 Pro$390.00
- Gemini 3 Pro Preview$44.00
- Claude Opus 4.5$100.00
Which should you choose?
Which is better: GPT-5 Pro, Gemini 3 Pro Preview or Claude Opus 4.5?
Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against Claude Opus 4.5 (55) and GPT-5 Pro (54). 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, GPT-5 Pro, Gemini 3 Pro Preview or Claude Opus 4.5?
Gemini 3 Pro Preview is cheaper at $2.00 input / $12.00 output per million tokens (median across 2 API providers). Claude Opus 4.5 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price); GPT-5 Pro costs $15.00 input / $120.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $4.50 per million tokens for Gemini 3 Pro Preview versus $10.00 for Claude Opus 4.5 (2.2× as much) and $41.25 for GPT-5 Pro (9.2× as much).
Which scores higher on benchmarks?
Gemini 3 Pro Preview scores higher on the Capabilities Index (ECI): Gemini 3 Pro Preview 153.0 (#39 of 148), GPT-5 Pro 150.3 (#46 of 148) and Claude Opus 4.5 150.1 (#48 of 148). The confidence ranges of the top two overlap (150.6–155.2 vs 148.5–152.8), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Pro yet, so there is no like-for-like coding score. On overall capability, Gemini 3 Pro Preview 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 3 Pro Preview has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5 Pro and 200,000 for Claude Opus 4.5. Maximum output per response: GPT-5 Pro up to 272,000, Gemini 3 Pro Preview up to 65,536, Claude Opus 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Pro accepts text and images; Gemini 3 Pro Preview accepts text, images, PDFs, audio and video; Claude Opus 4.5 accepts text, images and PDFs. Gemini 3 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. GPT-5 Pro, Gemini 3 Pro Preview and Claude Opus 4.5 are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4.5 is the newest, released Nov 24, 2025. Gemini 3 Pro Preview came out Nov 18, 2025; GPT-5 Pro came out Oct 6, 2025. Knowledge cutoff: GPT-5 Pro Sep 30, 2024, Gemini 3 Pro Preview Jan 2025, Claude Opus 4.5 May 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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