GPT-4 Turbo: token counter & pricing
OpenAI · exact (uses official tokenizer) · pricing as of 2026-04-26.
- Provider
- OpenAI
- API model ID
gpt-4-turbo-2024-04-09- Context window
- 128,000 tokens
- Input price
- $10.00 per 1M tokens
- Output price
- $30.00 per 1M tokens
- Tokenizer accuracy
- exact (uses official tokenizer)
- Pricing as of
- 2026-04-26
Open the counter to count tokens for GPT-4 Turbo in real time.
What is GPT-4 Turbo?
GPT-4 Turbo (gpt-4-turbo-2024-04-09) is the predecessor to GPT-4o. Same 128k context window, same general capability tier, but uses the older cl100k_base tokenizer and is priced significantly higher than GPT-4o on both input and output.
How tokens are counted here
GPT-4 Turbo uses OpenAI's cl100k_base tokenizer (the same one as GPT-3.5 and the original GPT-4). We compute counts in your browser via js-tiktoken. Counts are exact.
The cl100k_base tokenizer produces 5-10% more tokens than o200k_base (the GPT-4o tokenizer) for the same English text. So a prompt that costs $X on GPT-4 Turbo will cost less than $X × (4o input rate / Turbo input rate) on GPT-4o once tokenizer differences are accounted for.
Should you still use GPT-4 Turbo?
Almost certainly not. GPT-4o is:
- 4× cheaper on input ($2.50 vs $10 per million)
- 3× cheaper on output ($10 vs $30 per million)
- Slightly faster
- Comparable or better on most benchmarks
- Uses a more efficient tokenizer (5-10% fewer tokens for the same text)
The main reason to keep GPT-4 Turbo in your stack is API stability for production workloads pinned to a specific model version. If your prompts and evals are tuned for Turbo's exact behavior, switching costs may not be worth the savings — but for new work, default to GPT-4o.
Pricing notes
At $10 input / $30 output per million, GPT-4 Turbo is among the most expensive non-frontier models still in production. Frontier models that cost more: Claude Opus 4.7 ($15/$75). That's it.
Common questions
Why is GPT-4 Turbo more expensive than newer GPT-4o despite being older?
OpenAI's GPT-4o launch substantially undercut Turbo's pricing. Turbo's price didn't drop in response — it's left high to nudge migration. Treat this as OpenAI signaling: move to GPT-4o.
Will GPT-4 Turbo be deprecated?
OpenAI hasn't published a deprecation date as of this writing. Historical pattern: predecessor models stay available 12-24 months past a successor's launch, then enter a deprecation window with retirement notice.
Does GPT-4 Turbo support vision and JSON mode?
Yes to both. Functionally similar to GPT-4o; just older and more expensive.
Compare GPT-4 Turbo to other models
- GPT-4o (OpenAI, $2.50/$10.00)
- GPT-4o mini (OpenAI, $0.15/$0.60)
- Claude Opus 4.7 (Anthropic, $15.00/$75.00)
- Llama 3.1 405B (Meta, $3.50/$3.50)
- Claude Sonnet 4.6 (Anthropic, $3.00/$15.00)