GPT 3.5 Turbo 1106
GPT 3.5 Turbo 1106 is an OpenAI proprietary model, released 6 Nov 2023. Its best configuration ranks #545 of 372 on the BenchLeader Index at 39.3 ±4.3, in the lower half. It scores highest in coding (38) and lowest in reasoning (28). At $1.25 per million tokens blended it is pricier than most ranked models. Last measured 2 Sept 2026.
- Blended price
- $1.25/M
- $1.00 in · $2.00 out
- Output speed
- –
- First answer
- –
- Context
- 16k
- Overall index39
- Reasoning28
- Coding38
- Maths31
- Human preference35
Versions
OpenAI has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| GPT-4 Turbo | 9 Apr 2024 | 41.1 | #508 |
| GPT 3.5 Turbo 0125 | 25 Jan 2024 | 35.5 | #607 |
| GPT 3.5 Turbo 1106this page | 6 Nov 2023 | 39.3 | #545 |
| GPT-3.5 Turbohigh | 21 Sept 2023 | – | – |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | default | Source |
|---|---|---|
| GPQA Diamond | 28.0%#266 | Epoch AI Benchmarking Hub |
| LMArena Hard Prompts | 1227#290 | LMArena |
Coding
| Benchmark | default | Source |
|---|---|---|
| LMArena Coding | 1262#286 | LMArena |
Maths
| Benchmark | default | Source |
|---|---|---|
| MATH Level 5 | 15.9%#81 | Epoch AI Benchmarking Hub |
Human preference
| Benchmark | default | Source |
|---|---|---|
| LMArena Text | 1203#296 | LMArena |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0010 | – | – |
| Summarise a 30-page report | 12,000 / 600 | $0.013 | – | – |
| Code edit | 6,000 / 1,500 | $0.0090 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.068 | – | – |
| Structured extraction | 2,000 / 200 | $0.0024 | – | – |
See also
Data as of 10 Sept 2026. Compare with another model.