o3 vs GPT-5.2
Too close to call on our weighted score (GPT-5.2 61, o3 58). The right pick depends on what you value most.
Too close to call
It is close. Our weighted score puts them within 2 points (GPT-5.2 61/100, o3 58/100), so choose by what matters most for your work: GPT-5.2 for raw capability and o3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.2Capabilities Index (ECI): GPT-5.2 153.5 · o3 146.9
- Lowest priceo3o3 $3.50 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
- Longest contextGPT-5.2GPT-5.2 400,000 · o3 200,000 tokens
- Widest inputso3o3: Text, Images, PDFs · GPT-5.2: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | o3 | GPT-5.2 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 74 | 83 |
| Price | 25% | 24 | 18 |
| Inputs & features | 15% | 80 | 70 |
| Context window | 10% | 32 | 44 |
| Overall | 100% | 58/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification |  o3OpenAI | GPT-5.2OpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 146.9 | 153.5 (best) |
| ECI rank | #63 of 148 | #38 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 81.8% | 91.4% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 33.3% | 67.4% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.4% | 96.1% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 62.3% | 73.8% (best) |
| SimpleQA VerifiedShort factual questions | 49.4% (best) | 37.1% |
| Price per million tokens | ||
| Input | $2.00 | $1.75 (best) |
| Output | $8.00 (best) | $14.00 |
| Cached input | $0.50 | $0.175 (best) |
| Blended (3:1) | $3.50 (best) | $4.81 |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API |
| Limits | ||
| Context window | 200,000 tokens | 400,000 tokens (best) |
| Max output | 100,000 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | o3 | gpt-5.2 |
| API providers | 18 | 21 (best) |
| Released | Apr 16, 2025 | Dec 11, 2025 |
| Knowledge cutoff | May 2024 | Aug 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.
- o3$36.00
- GPT-5.2$45.50
Which should you choose?
Which is better: o3 or GPT-5.2?
It is close. Our weighted score puts them within 2 points (GPT-5.2 61/100, o3 58/100), so choose by what matters most for your work: GPT-5.2 for raw capability and o3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, o3 or GPT-5.2?
o3 is cheaper at $2.00 input / $8.00 output per million tokens (official OpenAI API price). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for o3 versus $4.81 for GPT-5.2 (1.4× as much).
Which scores higher on benchmarks?
GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148) and o3 146.9 (#63 of 148). Their confidence ranges do not overlap (151.7–155.4 vs 144.9–148.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, o3 81.8%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, o3 33.3%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, o3 84.4%; SWE-bench Verified — GPT-5.2 73.8%, o3 62.3%; SimpleQA Verified — o3 49.4%, GPT-5.2 37.1%.
Which is better for coding?
GPT-5.2 resolves more real GitHub issues on SWE-bench Verified: GPT-5.2 73.8% and o3 62.3%. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.2 has the largest context window at 400,000 tokens, against 200,000 for o3. Maximum output per response: o3 up to 100,000, GPT-5.2 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
o3 accepts text, images and PDFs; GPT-5.2 accepts text and images. o3 handles the widest range of inputs.
Are any of these open source?
No. o3 and GPT-5.2 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.2 is the newest, released Dec 11, 2025. o3 came out Apr 16, 2025. Knowledge cutoff: o3 May 2024, GPT-5.2 Aug 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.
