A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
GPT-5.4 Mini leads overall with a higher intelligence_index of 40 versus 19.4, faster output at 170.35 t/s, and lower price of $4.5 per million tokens, making it stronger for efficiency-focused multimodal tasks. GPT-4.1 counters with a much larger 1,047,576-token context window that better suits massive file and image processing. Both share OpenAI proprietary multimodal support for images, text, and files, but the data favors GPT-5.4 Mini on measurable performance and cost metrics.
| Spec | GPT-4.1 | GPT-5.4 Mini | Winner |
|---|---|---|---|
| Intelligence | 19.4 | 40 | GPT-5.4 Mini |
| Output speed | 101 t/s | 170 t/s | GPT-5.4 Mini |
| Output price | $8.00/1M | $4.50/1M | GPT-5.4 Mini |
| Context | 1048K | 400K | GPT-4.1 |
| Params | — | — | Tie |
| Provider | OpenAI | OpenAI | Tie |
GPT-5.4 Mini scores 40 on the intelligence_index compared to GPT-4.1's 19.4. This gap indicates stronger performance on multimodal reasoning tasks. Both models are proprietary OpenAI offerings with similar lineage strengths noted in the facts.
GPT-5.4 Mini delivers 170.35 tokens per second versus GPT-4.1's 100.6. The higher speed supports more responsive workflows on large file and image inputs. Latency notes in limitations apply mainly to long contexts for both.
GPT-5.4 Mini costs $4.5 per million tokens while GPT-4.1 costs $8. This makes GPT-5.4 Mini more economical for high-volume multimodal processing. High compute cost is flagged only for GPT-4.1's full context usage.
GPT-4.1 provides 1,047,576 tokens of context versus GPT-5.4 Mini's 400,000. This advantage suits tasks requiring processing of over a million tokens across modalities. Both handle very large windows but GPT-4.1's scale is explicitly larger.
Pros
Cons
Pros
Cons
Select GPT-5.4 Mini for most multimodal workloads needing superior intelligence, speed, and cost efficiency within a 400k context. Choose GPT-4.1 when the primary requirement is the largest possible context window exceeding one million tokens. The facts show GPT-5.4 Mini winning on three of four key dimensions.
GPT-5.4 Mini is better overall based on higher intelligence_index, faster speed, and lower price, though GPT-4.1 wins on raw context size.