GPT-5 vs GPT-4.1 vs Gemini 2.5 Pro
Gemini 2.5 Pro comes out ahead, 63 to 60 and 53 on our weighted score.
OpenAIGPT-5
60/100- ECI150.0
- Price$1.25 / $10.00
- Context400K
- OpenAI
GPT-4.1
53/100- ECI136.8
- Price$2.00 / $8.00
- Context1.05M
- Our pick
GoogleGemini 2.5 Pro
63/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
Gemini 2.5 Pro is our pick
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-5 (60) and GPT-4.1 (53). It leads on inputs & features. GPT-5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5Capabilities Index (ECI): GPT-5 150.0 · Gemini 2.5 Pro 145.3 · GPT-4.1 136.8
- Lowest priceGPT-5 and Gemini 2.5 ProGPT-5 $3.44 · Gemini 2.5 Pro $3.44 · GPT-4.1 $3.50 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro and GPT-4.1Gemini 2.5 Pro 1,048,576 · GPT-4.1 1,047,576 · GPT-5 400,000 tokens
- Widest inputsGemini 2.5 ProGPT-5: Text, Images · GPT-4.1: Text, Images, PDFs · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5 | GPT-4.1 | Gemini 2.5 Pro |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 78 | 61 | 72 |
| Price | 25% | 24 | 24 | 24 |
| Inputs & features | 15% | 70 | 70 | 100 |
| Context window | 10% | 44 | 61 | 61 |
| Overall | 100% | 60/100 | 53/100 | 63/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5OpenAI | GPT-4.1OpenAI | Gemini 2.5 ProGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 150.0 (best) | 136.8 | 145.3 |
| ECI rank | #50 of 148 (best) | #111 of 148 | #78 of 148 |
| GPQA DiamondGraduate-level science questions | 86.2% (best) | 66.9% | 85.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 55.4% (best) | 6.0% | 24.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.4% (best) | 38.3% | 84.7% |
| SWE-bench VerifiedFixing real GitHub issues | 73.6% (best) | 48.5% | 57.6% |
| SimpleQA VerifiedShort factual questions | 50.1% (best) | 31.1% | — |
| Price per million tokens | |||
| Input | $1.25 (best) | $2.00 | $1.25 (best) |
| Output | $10.00 | $8.00 (best) | $10.00 |
| Cached input | $0.125 (best) | $0.50 | $0.125 (best) |
| Blended (3:1) | $3.44 (best) | $3.50 | $3.44 (best) |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Official OpenAI API | Official OpenAI API | Official Google API |
| Limits | |||
| Context window | 400,000 tokens | 1,047,576 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens (best) | 32,768 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yesminimal · low · medium · high | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5 | gpt-4.1 | gemini-2.5-pro |
| API providers | 24 | 25 (best) | 22 |
| Released | Aug 7, 2025 | Apr 14, 2025 | Jun 17, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Apr 2024 | Jan 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$32.50
- GPT-4.1$36.00
- Gemini 2.5 Pro$32.50
Which should you choose?
Which is better: GPT-5, GPT-4.1 or Gemini 2.5 Pro?
Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-5 (60) and GPT-4.1 (53). It leads on inputs & features. GPT-5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5, GPT-4.1 or Gemini 2.5 Pro?
GPT-5 is cheaper at $1.25 input / $10.00 output per million tokens (official OpenAI API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price); GPT-4.1 costs $2.00 input / $8.00 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 GPT-5 versus $3.44 for Gemini 2.5 Pro (1× as much) and $3.50 for GPT-4.1 (1× as much).
Which scores higher on benchmarks?
GPT-5 scores higher on the Capabilities Index (ECI): GPT-5 150.0 (#50 of 148), Gemini 2.5 Pro 145.3 (#78 of 148) and GPT-4.1 136.8 (#111 of 148). On individual benchmarks: GPQA Diamond — GPT-5 86.2%, Gemini 2.5 Pro 85.3%, GPT-4.1 66.9%; FrontierMath Tiers 1–3 — GPT-5 55.4%, Gemini 2.5 Pro 24.6%, GPT-4.1 6.0%; OTIS Mock AIME 2024–2025 — GPT-5 91.4%, Gemini 2.5 Pro 84.7%, GPT-4.1 38.3%; SWE-bench Verified — GPT-5 73.6%, Gemini 2.5 Pro 57.6%, GPT-4.1 48.5%.
Which is better for coding?
GPT-5 resolves more real GitHub issues on SWE-bench Verified: GPT-5 73.6%, Gemini 2.5 Pro 57.6% and GPT-4.1 48.5%. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Pro and GPT-4.1 have the largest context windows (1,048,576 and 1,047,576 tokens), against 400,000 for GPT-5. Maximum output per response: GPT-5 up to 128,000, GPT-4.1 up to 32,768, Gemini 2.5 Pro up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5 accepts text and images; GPT-4.1 accepts text, images and PDFs; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. GPT-5, GPT-4.1 and Gemini 2.5 Pro are proprietary and only available through APIs and apps.
Which is newer?
GPT-5 is the newest, released Aug 7, 2025. Gemini 2.5 Pro came out Jun 17, 2025; GPT-4.1 came out Apr 14, 2025. Knowledge cutoff: GPT-5 Sep 30, 2024, GPT-4.1 Apr 2024, Gemini 2.5 Pro Jan 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.
