GPT-5.4 Pro vs GPT-5 Pro vs Claude Fable 5
Claude Fable 5 comes out ahead, 65 to 60 and 54 on our weighted score, and it is the cheaper option too.
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
- Our pick
Anthropic
Claude Fable 5
65/100- ECI162.2
- Price$10.00 / $50.00
- Context1M
Claude Fable 5 is our pick
Claude Fable 5 is the better all-round choice, scoring 65/100 against GPT-5.4 Pro (60) and GPT-5 Pro (54). It leads on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Fable 5Capabilities Index (ECI): Claude Fable 5 162.2 · GPT-5.4 Pro 159.1 · GPT-5 Pro 150.3
- Lowest priceClaude Fable 5Claude Fable 5 $20.00 · 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 · Claude Fable 5 1,000,000 · GPT-5 Pro 400,000 tokens
- Widest inputsClaude Fable 5GPT-5.4 Pro: Text, Images · GPT-5 Pro: Text, Images · Claude Fable 5: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.4 Pro | GPT-5 Pro | Claude Fable 5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 90 | 78 | 94 |
| Price | 25% | 0 | 0 | 0 |
| Inputs & features | 15% | 60 | 70 | 80 |
| Context window | 10% | 61 | 44 | 60 |
| Overall | 100% | 60/100 | 54/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 159.1 | 150.3 | 162.2 (best) |
| ECI rank | #11 of 148 | #46 of 148 | #7 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 94.6% (best) | — | 85.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 82.5% | 55.8% | 87.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 100% |
| SimpleQA VerifiedShort factual questions | 46.3% | — | 70.7% (best) |
| Price per million tokens | |||
| Input | $30.00 | $15.00 | $10.00 (best) |
| Output | $180.00 | $120.00 | $50.00 (best) |
| Cached input | — | — | $1.00 |
| Blended (3:1) | $67.50 | $41.25 | $20.00 (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 | 1,000,000 tokens |
| 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 · xhigh · max |
| 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-fable-5 |
| API providers | 16 | 12 | 38 (best) |
| Released | Mar 5, 2026 | Oct 6, 2025 | Jun 9, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Sep 30, 2024 | Jan 31, 2026 |
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 Fable 5$200.00
Which should you choose?
Which is better: GPT-5.4 Pro, GPT-5 Pro or Claude Fable 5?
Claude Fable 5 is the better all-round choice, scoring 65/100 against GPT-5.4 Pro (60) and GPT-5 Pro (54). It leads on capability 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 Fable 5?
Claude Fable 5 is cheaper at $10.00 input / $50.00 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 $20.00 per million tokens for Claude Fable 5 versus $41.25 for GPT-5 Pro (2.1× as much) and $67.50 for GPT-5.4 Pro (3.4× as much).
Which scores higher on benchmarks?
Claude Fable 5 scores higher on the Capabilities Index (ECI): Claude Fable 5 162.2 (#7 of 148), GPT-5.4 Pro 159.1 (#11 of 148) and GPT-5 Pro 150.3 (#46 of 148). The confidence ranges of the top two overlap (159.6–166.1 vs 156.5–161.9), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Claude Fable 5 87.0%, GPT-5.4 Pro 82.5%, GPT-5 Pro 55.8%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 Pro, GPT-5 Pro and Claude Fable 5 yet, so there is no like-for-like coding score. On overall capability, Claude Fable 5 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 1,000,000 for Claude Fable 5 and 400,000 for GPT-5 Pro. Maximum output per response: GPT-5.4 Pro up to 128,000, GPT-5 Pro up to 272,000, Claude Fable 5 up to 128,000 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 Fable 5 accepts text, images and PDFs. Claude Fable 5 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.4 Pro, GPT-5 Pro and Claude Fable 5 are proprietary and only available through APIs and apps.
Which is newer?
Claude Fable 5 is the newest, released Jun 9, 2026. GPT-5.4 Pro came out Mar 5, 2026; GPT-5 Pro came out Oct 6, 2025. Knowledge cutoff: GPT-5.4 Pro Aug 31, 2025, GPT-5 Pro Sep 30, 2024, Claude Fable 5 Jan 31, 2026.
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.