Palmyra X4 vs GPT-4o
GPT-4o comes out ahead, 35 to 25 on our weighted score.
Writer
Palmyra X4
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
OpenAIGPT-4o
35/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Add a model
Make it a three-way comparison.
GPT-4o is our pick
GPT-4o is the better all-round choice, scoring 35/100 against Palmyra X4 (25). It leads on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSame pricePalmyra X4 $4.38 · GPT-4o $4.38 per 1M tokens (3:1 blend)
- Longest contextAbout the samePalmyra X4 128,000 · GPT-4o 128,000 tokens
- Widest inputsGPT-4oPalmyra X4: Text · GPT-4o: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Palmyra X4 | GPT-4o |
|---|---|---|---|
| Price | 50% | 19 | 19 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 25/100 | 35/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Palmyra X4Writer | GPT-4oOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 129.0 |
| ECI rank | — | #141 of 165 |
| GPQA DiamondGraduate-level science questions | — | 48.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 6.3% |
| Price per million tokens | ||
| Input | $2.50 | $2.50 |
| Output | $10.00 | $10.00 |
| Cached input | — | $1.25 |
| Blended (3:1) | $4.38 | $4.38 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official OpenAI API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 4,096 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | gpt-4o |
| API providers | 2 | 26 (best) |
| Released | Oct 9, 2024 | May 13, 2024 |
| Knowledge cutoff | — | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Palmyra X4$45.00
- GPT-4o$45.00
Which should you choose?
Which is better: Palmyra X4 or GPT-4o?
GPT-4o is the better all-round choice, scoring 35/100 against Palmyra X4 (25). It leads on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Palmyra X4 or GPT-4o?
Palmyra X4 and GPT-4o cost the same: $2.50 input / $10.00 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Palmyra X4 has not been scored yet and GPT-4o has an ECI of 129.0.
Which is better for coding?
There are no published SWE-bench Verified results for Palmyra X4 and GPT-4o yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Palmyra X4 and GPT-4o share the same 128,000-token context window. Maximum output per response: Palmyra X4 up to 4,096, GPT-4o up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Palmyra X4 accepts text; GPT-4o accepts text, images and PDFs. GPT-4o handles the widest range of inputs.
Are any of these open source?
No. Palmyra X4 and GPT-4o are proprietary and only available through APIs and apps.
Which is newer?
Palmyra X4 is the newest, released Oct 9, 2024. GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023.
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 Nov 2, 2026.
