Gemini 2.5 Pro vs GPT-5
| Signal | Gemini 2.5 Pro | Delta | GPT-5 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 80 | -8 | |
Pricing | 90 | -- | |
Context window size | 96 | +7 | |
Recency | 59 | -9 | |
Output Capacity | 80 | -5 | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
83.5
current score
GPT-5
right now
88.7
current score
Gemini 2.5 Pro
GPT-5
OpenAI
| Metric | Gemini 2.5 Pro | GPT-5 | Winner |
|---|---|---|---|
| Overall Score | 84 | 89 | GPT-5 |
| Rank | #47 | #36 | GPT-5 |
| Quality Rank | #47 | #36 | GPT-5 |
| Adoption Rank | #47 | #36 | GPT-5 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 400K | Gemini 2.5 Pro |
| Pricing | $1.25/$10.00/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Gemini 2.5 Pro |
| Benchmarks | 80 | 88 | GPT-5 |
| Pricing | 90 | 90 | Gemini 2.5 Pro |
| Context window size | 96 | 89 | Gemini 2.5 Pro |
| Recency | 59 | 68 | GPT-5 |
| Output Capacity | 80 | 85 | GPT-5 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.
Scores 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.
GPT-5 has a 5-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 2.5 Pro when you need:
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose GPT-5 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Gemini 2.5 Pro also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($10.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5 has a moderate advantage with a 5.200000000000003-point lead in composite score. It wins on more signal dimensions, but Gemini 2.5 Pro has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Gemini 2.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Pro
0% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 0% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Gemini 2.5 Pro | GPT-5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Gemini 2.5 Pro
GPT-5
OpenAI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 2.5 Pro | GPT-5 |
|---|---|---|
| Context Window | 1.0M | 400K |
| Max Output Tokens | 65,536 | 128,000 |
| Open Source | No | No |
| Created | Jun 17, 2025 | Aug 7, 2025 |