GPT-5.4 Pro vs GPT-5 Pro vs Claude Opus 4.5
GPT-5.4 Pro comes out ahead, 60 to 55 and 54 on our weighted score, though Claude Opus 4.5 is 6.8× cheaper per token.
- Our pick
OpenAI
GPT-5.4 Pro
60/100- ECI159.1
- Price$30.00 / $180.00
- Context1.05M
OpenAI
GPT-5 Pro
54/100- ECI150.3
- Price$15.00 / $120.00
- Context400K
Anthropic
Claude Opus 4.5
55/100- ECI150.1
- Price$5.00 / $25.00
- Context200K
GPT-5.4 Pro is our pick
GPT-5.4 Pro is the better all-round choice, scoring 60/100 against Claude Opus 4.5 (55) and GPT-5 Pro (54). It leads on capability and context window. Claude Opus 4.5 wins on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.4 ProCapabilities Index (ECI): GPT-5.4 Pro 159.1 · GPT-5 Pro 150.3 · Claude Opus 4.5 150.1
- Lowest priceClaude Opus 4.5Claude Opus 4.5 $10.00 · GPT-5 Pro $41.25 · GPT-5.4 Pro $67.50 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4 ProGPT-5.4 Pro 1,050,000 · GPT-5 Pro 400,000 · Claude Opus 4.5 200,000 tokens
- Widest inputsClaude Opus 4.5GPT-5.4 Pro: Text, Images · GPT-5 Pro: Text, Images · Claude Opus 4.5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.4 Pro | GPT-5 Pro | Claude Opus 4.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 90 | 78 | 78 |
| Price | 25% | 0 | 0 | 2 |
| Inputs & features | 15% | 60 | 70 | 80 |
| Context window | 10% | 61 | 44 | 32 |
| Overall | 100% | 60/100 | 54/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 159.1 (best) | 150.3 | 150.1 |
| ECI rank | #11 of 148 (best) | #46 of 148 | #48 of 148 |
| GPQA DiamondGraduate-level science questions | 94.6% (best) | — | 86.1% |
| FrontierMath Tiers 1–3Research-level mathematics | 82.5% (best) | 55.8% | 34.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 86.1% |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 76.7% |
| SimpleQA VerifiedShort factual questions | 46.3% (best) | — | 45.7% |
| Price per million tokens | |||
| Input | $30.00 | $15.00 | $5.00 (best) |
| Output | $180.00 | $120.00 | $25.00 (best) |
| Cached input | — | — | $0.50 |
| Blended (3:1) | $67.50 | $41.25 | $10.00 (best) |
| Long-context rate | Over 272K: $60.00 / $270.00 | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Official Anthropic API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 400,000 tokens | 200,000 tokens |
| Max output | 128,000 tokens | 272,000 tokens (best) | 64,000 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 |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.4-pro | gpt-5-pro | claude-opus-4-5 |
| API providers | 16 | 12 | 28 (best) |
| Released | Mar 5, 2026 | Oct 6, 2025 | Nov 24, 2025 |
| Knowledge cutoff | Aug 31, 2025 | Sep 30, 2024 | May 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-5.4 Pro$660.00
GPT-5 Pro$390.00
Claude Opus 4.5$100.00
Which should you choose?
Which is better: GPT-5.4 Pro, GPT-5 Pro or Claude Opus 4.5?
GPT-5.4 Pro is the better all-round choice, scoring 60/100 against Claude Opus 4.5 (55) and GPT-5 Pro (54). It leads on capability and context window. Claude Opus 4.5 wins on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 Pro, GPT-5 Pro or Claude Opus 4.5?
Claude Opus 4.5 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-5.4 Pro costs $30.00 input / $180.00 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 4.5 versus $41.25 for GPT-5 Pro (4.1× as much) and $67.50 for GPT-5.4 Pro (6.8× as much).
Which scores higher on benchmarks?
GPT-5.4 Pro scores higher on the Capabilities Index (ECI): GPT-5.4 Pro 159.1 (#11 of 148), GPT-5 Pro 150.3 (#46 of 148) and Claude Opus 4.5 150.1 (#48 of 148). Their confidence ranges do not overlap (156.5–161.9 vs 148.5–152.8), so the gap is a real one. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-5.4 Pro 82.5%, GPT-5 Pro 55.8%, Claude Opus 4.5 34.4%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 Pro and GPT-5 Pro yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 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?
GPT-5.4 Pro has the largest context window at 1,050,000 tokens, against 400,000 for GPT-5 Pro and 200,000 for Claude Opus 4.5. Maximum output per response: GPT-5.4 Pro up to 128,000, GPT-5 Pro up to 272,000, Claude Opus 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 Pro accepts text and images; GPT-5 Pro accepts text and images; Claude Opus 4.5 accepts text, images and PDFs. Claude Opus 4.5 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.4 Pro, GPT-5 Pro and Claude Opus 4.5 are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.4 Pro is the newest, released Mar 5, 2026. Claude Opus 4.5 came out Nov 24, 2025; GPT-5 Pro came out Oct 6, 2025. Knowledge cutoff: GPT-5.4 Pro Aug 31, 2025, GPT-5 Pro Sep 30, 2024, Claude Opus 4.5 May 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.