GPT-5.2 Pro vs GPT-5 Pro vs Claude Opus 4.6
Claude Opus 4.6 comes out ahead, 61 to 56 and 54 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.2 Pro
56/100- ECI155.4
- Price$21.00 / $168.00
- Context400K
- OpenAI
GPT-5 Pro
54/100- ECI150.3
- Price$15.00 / $120.00
- Context400K
- Our pick
AnthropicClaude Opus 4.6
61/100- ECI155.3
- Price$5.00 / $25.00
- Context1M
Claude Opus 4.6 is our pick
Claude Opus 4.6 is the better all-round choice, scoring 61/100 against GPT-5.2 Pro (56) and GPT-5 Pro (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.2 ProCapabilities Index (ECI): GPT-5.2 Pro 155.4 · Claude Opus 4.6 155.3 · GPT-5 Pro 150.3
- Lowest priceClaude Opus 4.6Claude Opus 4.6 $10.00 · GPT-5 Pro $41.25 · GPT-5.2 Pro $57.75 per 1M tokens (3:1 blend)
- Longest contextClaude Opus 4.6Claude Opus 4.6 1,000,000 · GPT-5.2 Pro 400,000 · GPT-5 Pro 400,000 tokens
- Widest inputsClaude Opus 4.6GPT-5.2 Pro: Text, Images · GPT-5 Pro: Text, Images · Claude Opus 4.6: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.2 Pro | GPT-5 Pro | Claude Opus 4.6 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 85 | 78 | 85 |
| Price | 25% | 0 | 0 | 2 |
| Inputs & features | 15% | 60 | 70 | 80 |
| Context window | 10% | 44 | 44 | 60 |
| Overall | 100% | 56/100 | 54/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.2 ProOpenAI | GPT-5 ProOpenAI | Claude Opus 4.6Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 155.4 (best) | 150.3 | 155.3 |
| ECI rank | #25 of 148 (best) | #46 of 148 | #27 of 148 |
| GPQA DiamondGraduate-level science questions | — | — | 90.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 74.0% (best) | 55.8% | 66.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 94.4% |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 78.7% |
| SimpleQA VerifiedShort factual questions | — | — | 47.0% |
| Price per million tokens | |||
| Input | $21.00 | $15.00 | $5.00 (best) |
| Output | $168.00 | $120.00 | $25.00 (best) |
| Cached input | — | — | $0.50 |
| Blended (3:1) | $57.75 | $41.25 | $10.00 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Official Anthropic API |
| Limits | |||
| Context window | 400,000 tokens | 400,000 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens | 272,000 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesmedium · high · xhigh | Yeshigh | Yeslow · medium · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.2-pro | gpt-5-pro | claude-opus-4-6 |
| API providers | 8 | 12 | 33 (best) |
| Released | Dec 11, 2025 | Oct 6, 2025 | Feb 5, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Sep 30, 2024 | May 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.
- GPT-5.2 Pro$546.00
- GPT-5 Pro$390.00
- Claude Opus 4.6$100.00
Which should you choose?
Which is better: GPT-5.2 Pro, GPT-5 Pro or Claude Opus 4.6?
Claude Opus 4.6 is the better all-round choice, scoring 61/100 against GPT-5.2 Pro (56) and GPT-5 Pro (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.2 Pro, GPT-5 Pro or Claude Opus 4.6?
Claude Opus 4.6 is cheaper at $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); GPT-5.2 Pro costs $21.00 input / $168.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $10.00 per million tokens for Claude Opus 4.6 versus $41.25 for GPT-5 Pro (4.1× as much) and $57.75 for GPT-5.2 Pro (5.8× as much).
Which scores higher on benchmarks?
GPT-5.2 Pro scores higher on the Capabilities Index (ECI): GPT-5.2 Pro 155.4 (#25 of 148), Claude Opus 4.6 155.3 (#27 of 148) and GPT-5 Pro 150.3 (#46 of 148). The confidence ranges of the top two overlap (153.0–158.2 vs 153.4–157.3), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.2 Pro 74.0%, Claude Opus 4.6 66.0%, GPT-5 Pro 55.8%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.2 Pro and GPT-5 Pro yet, so there is no like-for-like coding score. On overall capability, GPT-5.2 Pro 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?
Claude Opus 4.6 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.2 Pro and 400,000 for GPT-5 Pro. Maximum output per response: GPT-5.2 Pro up to 128,000, GPT-5 Pro up to 272,000, Claude Opus 4.6 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.2 Pro accepts text and images; GPT-5 Pro accepts text and images; Claude Opus 4.6 accepts text, images and PDFs. Claude Opus 4.6 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.2 Pro, GPT-5 Pro and Claude Opus 4.6 are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4.6 is the newest, released Feb 5, 2026. GPT-5.2 Pro came out Dec 11, 2025; GPT-5 Pro came out Oct 6, 2025. Knowledge cutoff: GPT-5.2 Pro Aug 31, 2025, GPT-5 Pro Sep 30, 2024, Claude Opus 4.6 May 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.
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