Model comparison
GPT-5.2 Pro vs GPT-5.3 Chat
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 42.1 on the Noometry Index. GPT-5.3 Chat costs 12× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 35.4.
- GPT-5.3 Chat is cheaper at $1.75 / $14 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 128K.
Side by side
| GPT-5.2 Pro | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 52.2 | 42.1 |
| Released | 2025-12-11 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 128K |
| Max output | 128K | 16K |
| Input $ / M tokens | $21 | $1.75 |
| Output $ / M tokens | $168 | $14 |
| Results tracked | 8 | 18 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 40.8 (#124)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | — | 1408 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1399 |
| Epoch Capabilities Index | 155.41 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LMArena Math | — | 1389 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 38.2 (#137)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |
Multilingual Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 50.5 (#119)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | — | 1383 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1398 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1351 |
| LMArena Korean | — | 1347 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1371 |
Instruction Following Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 73.0 (#124)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | — | 1378 |
Long Context Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 42.6 (#115)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | — | 1396 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, GPT-5.3 Chat: 63.3 (#65)
| Benchmark | GPT-5.2 Pro | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | — | 1389 |
| LMArena Creative Writing | — | 1356 |
| EQ-Bench Creative Writing | — | 1690 |
| LMArena Multi-Turn | — | 1413 |
Frequently asked questions
Is GPT-5.2 Pro better than GPT-5.3 Chat?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 42.1 on the Noometry Index. GPT-5.3 Chat costs 12× 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-5.2 Pro or GPT-5.3 Chat?
GPT-5.3 Chat is cheaper. It lists at $1.75 per million input tokens and $14 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 128K.
How many benchmarks do GPT-5.2 Pro and GPT-5.3 Chat share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and GPT-5.3 Chat has 18.