GPT-4 vs GPT-3.5 Turbo 16k compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4 — full profile › · GPT-3.5 Turbo 16k — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | GPT-4 | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Maker | OpenAI | OpenAI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 8K tokens | 16K tokens | |
| Input price | $30/M | $3/M | |
| Output price | $60/M | $4/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
GPT-3.5 Turbo 16k is ~15× cheaper than GPT-4 on output tokens ($4 vs $60 per M tokens).
| Capability | GPT-4 | GPT-3.5 Turbo 16k |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | GPT-4 | GPT-3.5 Turbo 16k |
|---|---|---|
| Cost-efficiency | 2.0 | 4.0 |
| Context window | 2.0 | 2.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
GPT-3.5 Turbo 16k is cheaper on output ($4/M vs $60/M).
GPT-3.5 Turbo 16k offers the larger context window (16K tokens).
Choose GPT-3.5 Turbo 16k for the lower output price ($4/M vs $60/M). It also gives you the larger 16K context window.
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