GPT-5.2 vs GPT-5.3 Codex vs Gemini 3 Pro Preview
Too close to call on our weighted score (Gemini 3 Pro Preview 67, GPT-5.3 Codex 64, GPT-5.2 61). The right pick depends on what you value most.
OpenAIGPT-5.2
61/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
- OpenAI
GPT-5.3 Codex
64/100- ECI156.8
- Price$1.75 / $14.00
- Context400K
GoogleGemini 3 Pro Preview
67/100- ECI153.0
- Price$2.00 / $12.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 3 points (Gemini 3 Pro Preview 67/100, GPT-5.3 Codex 64/100, GPT-5.2 61/100), so choose by what matters most for your work: GPT-5.3 Codex for raw capability, Gemini 3 Pro Preview on price and Gemini 3 Pro Preview for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.3 CodexCapabilities Index (ECI): GPT-5.3 Codex 156.8 · GPT-5.2 153.5 · Gemini 3 Pro Preview 153.0
- Lowest priceGemini 3 Pro PreviewGemini 3 Pro Preview $4.50 · GPT-5.2 $4.81 · GPT-5.3 Codex $4.81 per 1M tokens (3:1 blend)
- Longest contextGemini 3 Pro PreviewGemini 3 Pro Preview 1,048,576 · GPT-5.2 400,000 · GPT-5.3 Codex 400,000 tokens
- Widest inputsGemini 3 Pro PreviewGPT-5.2: Text, Images · GPT-5.3 Codex: Text, Images, PDFs · Gemini 3 Pro Preview: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.2 | GPT-5.3 Codex | Gemini 3 Pro Preview |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 83 | 87 | 82 |
| Price | 25% | 18 | 18 | 19 |
| Inputs & features | 15% | 70 | 80 | 100 |
| Context window | 10% | 44 | 44 | 61 |
| Overall | 100% | 61/100 | 64/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.2OpenAI | GPT-5.3 CodexOpenAI | Gemini 3 Pro PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 153.5 | 156.8 (best) | 153.0 |
| ECI rank | #38 of 148 | #18 of 148 (best) | #39 of 148 |
| GPQA DiamondGraduate-level science questions | 91.4% | — | 92.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 67.4% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 96.1% (best) | — | 91.4% |
| SWE-bench VerifiedFixing real GitHub issues | 73.8% | 74.8% (best) | 72.9% |
| SimpleQA VerifiedShort factual questions | 37.1% | — | — |
| Price per million tokens | |||
| Input | $1.75 (best) | $1.75 (best) | $2.00 |
| Output | $14.00 | $14.00 | $12.00 (best) |
| Cached input | $0.175 | $0.175 | — |
| Blended (3:1) | $4.81 | $4.81 | $4.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Median of 2 providers |
| Limits | |||
| Context window | 400,000 tokens | 400,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens (best) | 128,000 tokens (best) | 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 | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.2 | gpt-5.3-codex | — |
| API providers | 21 (best) | 19 | 3 |
| Released | Dec 11, 2025 | Feb 5, 2026 | Nov 18, 2025 |
| Knowledge cutoff | Aug 31, 2025 | Aug 31, 2025 | 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-5.2$45.50
- GPT-5.3 Codex$45.50
- Gemini 3 Pro Preview$44.00
Which should you choose?
Which is better: GPT-5.2, GPT-5.3 Codex or Gemini 3 Pro Preview?
It is close. Our weighted score puts them within 3 points (Gemini 3 Pro Preview 67/100, GPT-5.3 Codex 64/100, GPT-5.2 61/100), so choose by what matters most for your work: GPT-5.3 Codex for raw capability, Gemini 3 Pro Preview on price and Gemini 3 Pro Preview for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.2, GPT-5.3 Codex or Gemini 3 Pro Preview?
Gemini 3 Pro Preview is cheaper at $2.00 input / $12.00 output per million tokens (median across 2 API providers). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price); GPT-5.3 Codex 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 $4.50 per million tokens for Gemini 3 Pro Preview versus $4.81 for GPT-5.2 (1.1× as much) and $4.81 for GPT-5.3 Codex (1.1× as much).
Which scores higher on benchmarks?
GPT-5.3 Codex scores higher on the Capabilities Index (ECI): GPT-5.3 Codex 156.8 (#18 of 148), GPT-5.2 153.5 (#38 of 148) and Gemini 3 Pro Preview 153.0 (#39 of 148). The confidence ranges of the top two overlap (153.5–160.8 vs 151.7–155.4), so treat the gap as small. On individual benchmarks: SWE-bench Verified — GPT-5.3 Codex 74.8%, GPT-5.2 73.8%, Gemini 3 Pro Preview 72.9%.
Which is better for coding?
GPT-5.3 Codex resolves more real GitHub issues on SWE-bench Verified: GPT-5.3 Codex 74.8%, GPT-5.2 73.8% and Gemini 3 Pro Preview 72.9%. 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-5.2 and 400,000 for GPT-5.3 Codex. Maximum output per response: GPT-5.2 up to 128,000, GPT-5.3 Codex up to 128,000, Gemini 3 Pro Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 accepts text and images; GPT-5.3 Codex accepts text, images and PDFs; Gemini 3 Pro Preview accepts text, images, PDFs, audio and video. Gemini 3 Pro Preview handles the widest range of inputs.
Are any of these open source?
No. GPT-5.2, GPT-5.3 Codex and Gemini 3 Pro Preview are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.3 Codex is the newest, released Feb 5, 2026. GPT-5.2 came out Dec 11, 2025; Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, GPT-5.3 Codex Aug 31, 2025, Gemini 3 Pro Preview 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.
