meta
GPT-5.4 vs Muse Spark 1.2
78.0 overall · $2.00 / 1M
// openai
GPT-5.4
openai/gpt-5.4
reasoningtool callingimage inputfile inputprompt caching
GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens with a 1.1M-token context window.
A reasoning, tool-calling model from openai, released Mar 5, 2026. On LiveBench it scores 78.0 overall — #14 of 55 benchmarked models — and ranks highest in data analysis (#11).
- Input / 1M
- $2.50
- Output / 1M
- $15.00
- Context
- 1.1M
- LiveBench overall
- 78.0 · #14
Specs and pricing
| Input price USD per 1M prompt tokens | $2.50 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $15.00 |
| Blended price 3:1 input:output — #34 most expensive of 343 listed models | $5.63 |
| Cached input read Blank means not priced separately — not free | $0.250 |
| Cache write | — |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Input modalities | text, image, file |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Mar 5, 2026 |
Also listed as openai/gpt-5.4:batch ($2.81 blended)— the same model at a different price or rate limit.
Benchmarks by category
LiveBench scores out of 100, with GPT-5.4's rank among the 55 benchmarked models listed here. Run: gpt-5.4-xhigh.
Language#20 of 55
82.6
$0.1149 measured per point
What GPT-5.4 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $1,638/mo |
| RAG assistant 8K in / 600 out × 100K requests | $2,000/mo |
| Coding agent 40K in / 4K out × 20K requests | $1,940/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $3,513/mo |
| Bulk classification 500 in / 20 out × 5M requests | $6,625/mo |
Compare GPT-5.4 with
The benchmarked models closest to it on overall score.
GPT-5.4 FAQ
How much does GPT-5.4 cost?
GPT-5.4 lists at $2.50 per 1M input tokens and $15.00 per 1M output tokens, with cached input reads at $0.250 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $2,000 at list price.
What is the context window of GPT-5.4?
GPT-5.4 accepts up to 1,050,000 tokens of context and can return up to 128,000 output tokens per response.
Does GPT-5.4 support tool calling?
Yes — GPT-5.4 supports tool (function) calling and exposes extended reasoning. It accepts text, image, file input.
How does GPT-5.4 score on benchmarks?
On LiveBench release 2026-06-25 (run: gpt-5.4-xhigh), GPT-5.4 scores 78.0 overall, ranking #14 of 55 benchmarked models.
What is the API model ID for GPT-5.4?
On OpenRouter the model ID is "openai/gpt-5.4". It was listed on Mar 5, 2026.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.