GPT-4 Turbo
AI model by OpenAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. GPT-4 Turbo is a premium-tier model from OpenAI at $30.00/M output tokens. Benchmark scores (e.g. Coding Index 21.5) suggest it targets workloads where correctness matters more than cost — long-running agents, code generation at scale, and complex multi-step reasoning.
Latency. On latency, GPT-4 Turbo reports 29 tok/s output speed and 4040ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, GPT-4 Turbo costs $13.00 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
GPT-4 TurboCurrent | $10.00 | $30.00 | 29 tok/s |
| Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) | $5.00 | $25.00 | 54 tok/s |
| Claude Opus 5 (Adaptive Reasoning, Low Effort) | $5.00 | $25.00 | 49 tok/s |
| Claude Opus 4.5 (Reasoning) | $5.00 | $25.00 | 46 tok/s |
| Claude Opus 4.7 (Non-reasoning, High Effort) | $5.00 | $25.00 | 44 tok/s |
| Claude Opus 4.5 (Non-reasoning) | $5.00 | $25.00 | 45 tok/s |