Model comparison
GPT-3.5-turbo vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 77× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 6.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 0% for GPT-3.5-turbo and 74% for GPT-5.2 Pro.
- GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 16K.
Side by side
| GPT-3.5-turbo | GPT-5.2 Pro | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 23.2 | 52.3 |
| Released | 2023-03-01 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | 16K | 400K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.50 | $21 |
| Output $ / M tokens | $1.50 | $168 |
| Results tracked | 44 | 8 |
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Category by category
Coding Not comparable
GPT-3.5-turbo: 23.9 (#331), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| WeirdML | 3.5% | — |
| BigCodeBench Instruct | 39.1% | — |
| LMArena Coding | 1136 | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning GPT-5.2 Pro leads
GPT-3.5-turbo: 13.8 (#332), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| Epoch Capabilities Index | 118.55 | 155.4 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1108 | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math GPT-5.2 Pro leads
GPT-3.5-turbo: 6.3 (#327), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0% | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |
| MATH Level 5 | 15.9% | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
| GSM8K | 57.8% | — |
Knowledge Not comparable
GPT-3.5-turbo: 10.0 (#303), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 28% | — |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Not comparable
GPT-3.5-turbo: 31.5 (#258), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1108 | — |
| LMArena Chinese | 1075 | — |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1121 | — |
Instruction Following Not comparable
GPT-3.5-turbo: 57.9 (#262), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1119 | — |
Long Context Not comparable
GPT-3.5-turbo: 34.0 (#254), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1121 | — |
Writing & Preference Not comparable
GPT-3.5-turbo: 25.3 (#305), GPT-5.2 Pro: —
| Benchmark | GPT-3.5-turbo | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1125 | — |
| LMArena Creative Writing | 1092 | — |
| EQ-Bench Creative Writing | 451 | — |
| LMArena Multi-Turn | 1117 | — |
Frequently asked questions
Is GPT-3.5-turbo better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 77× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-3.5-turbo or GPT-5.2 Pro?
GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 16K.
How many benchmarks do GPT-3.5-turbo and GPT-5.2 Pro share?
2 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and GPT-5.2 Pro has 8.