Head-to-head showdown: GPT-5.4 Workhorse ($2.50 in / $15.00 out per 1M) vs Grok 4.3 ($1.25 in / $2.50 out per 1M). Grok 4.3 is 4.7× cheaper across standard token mixes, with 256K vs 1M context windows.
gpt-5.4 · openai
grok-4-3 · xai
Benchmark
| Workload Scenario | GPT-5.4 Workhorse | Grok 4.3 | Price Delta |
|---|---|---|---|
| 1M input tokens (raw text) | $2.50 | $1.25 | +$1.25 |
| 1M output tokens (generation) | $15.00 | $2.50 | +$12.50 |
| 1M tokens · 70% input / 30% output mix | $6.25 | $1.625 | +$4.625 |
| Standard chat turn (4K in / 800 out, 50% cached) | $0.0175 | $0.0049 | +$0.0126 |
| Monthly scale (10K requests / day) | $5,250.00 | $1,470.00 | +$3,780.00 |
Negative difference = GPT-5.4 Workhorse is cheaper. Positive = Grok 4.3 is cheaper.
Scaling Curve
Total cost of a token volume at 70/30 input/output split (uncached). Log-log scale.
Verdict
Grok 4.3 is cheaper on both input and output rates, so it costs less at every input/output mix. Price alone still isn't the whole decision: capability, latency and context limits (GPT-5.4 Workhorse: 256K, Grok 4.3: 1M) may justify the premium for your task.
FAQ
On input, Grok 4.3 is cheaper ($1.25/M vs $2.50/M). On output, Grok 4.3 is cheaper ($2.50/M vs $15.00/M). The same model is cheaper on both sides, so it wins at every mix.
A chat-style request (4,000 input + 800 output tokens, 50% cached) costs $0.0175 on GPT-5.4 Workhorse and $0.0049 on Grok 4.3 — Grok 4.3 is 3.6× more expensive for that workload.
GPT-5.4 Workhorse supports 256,000 tokens (32.8K max output); Grok 4.3 supports 1,000,000 (32.8K max output). Grok 4.3 fits 3.9× more context, which matters for long documents and agents.