Model comparison
GPT-4o mini vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 25.4 on the Noometry Index. GPT-4o mini costs 18× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.3 Chat leads 35.4 to 9.9.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Side by side
| GPT-4o mini | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 25.4 | 42.1 |
| Released | 2024-07-18 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 128K |
| Max output | 16K | 16K |
| Input $ / M tokens | $0.15 | $1.75 |
| Output $ / M tokens | $0.60 | $14 |
| Results tracked | 60 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-4o mini: 21.6 (#330), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1290 | 1408 |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.2 (#95), GPT-5.3 Chat: —
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning GPT-5.3 Chat leads
GPT-4o mini: 8.7 (#343), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1267 | 1399 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math GPT-5.3 Chat leads
GPT-4o mini: 9.9 (#307), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1267 | 1389 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge GPT-5.3 Chat leads
GPT-4o mini: 17.7 (#279), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1235 | 1397 |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.3 (#117), GPT-5.3 Chat: —
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual GPT-5.3 Chat leads
GPT-4o mini: 42.2 (#194), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1266 | 1383 |
| LMArena Chinese | 1264 | 1433 |
| LMArena French | 1296 | 1398 |
| LMArena German | 1272 | 1384 |
| LMArena Japanese | 1216 | 1351 |
| LMArena Korean | 1195 | 1347 |
| LMArena Russian | 1275 | 1400 |
| LMArena Spanish | 1276 | 1371 |
Instruction Following GPT-5.3 Chat leads
GPT-4o mini: 62.1 (#234), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1259 | 1378 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-5.3 Chat leads
GPT-4o mini: 39.1 (#181), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1289 | 1396 |
Writing & Preference GPT-5.3 Chat leads
GPT-4o mini: 39.7 (#243), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | GPT-4o mini | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1286 | 1389 |
| LMArena Creative Writing | 1268 | 1356 |
| EQ-Bench Creative Writing | 873 | 1690 |
| LMArena Multi-Turn | 1285 | 1413 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 25.4 on the Noometry Index. GPT-4o mini costs 18× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GPT-4o mini or GPT-5.3 Chat?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-4o mini or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 21.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-4o mini and GPT-5.3 Chat share?
18 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and GPT-5.3 Chat has 18.