Model comparison
GPT-4 Turbo vs GPT-5.4 mini
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.5 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and GPT-5.4 mini in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 mini leads 45.5 to 9.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for GPT-4 Turbo and 88.9% for GPT-5.4 mini.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- GPT-5.4 mini accepts more context: 400K tokens versus 128K.
Side by side
| GPT-4 Turbo | GPT-5.4 mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 30.5 | 45.0 |
| Released | 2023-11-06 | 2026-03-17 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 400K |
| Max output | 4K | 128K |
| Input $ / M tokens | $10 | $0.75 |
| Output $ / M tokens | $30 | $4.50 |
| Results tracked | 36 | 46 |
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Category by category
Coding GPT-5.4 mini leads
GPT-4 Turbo: 33.8 (#249), GPT-5.4 mini: 45.2 (#72)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| WeirdML | 18% | 60.3% |
| LMArena Coding | 1268 | 1438 |
| FrontierCode | — | 27% |
| LMArena WebDev | — | 1397 |
| SciCode | — | 49.9% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| ALE-Bench | — | 1,189 |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, GPT-5.4 mini: 29.9 (#81)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | — | 36.3% |
| METR Time Horizons | 36.7% | — |
Reasoning GPT-5.4 mini leads
GPT-4 Turbo: 15.3 (#317), GPT-5.4 mini: 30.4 (#85)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| Chess Puzzles | 6% | 24% |
| LMArena Hard Prompts | 1251 | 1424 |
| DTBench | 61.6% | 80% |
| LMCA | 9.8% | 40.8% |
| Epoch Capabilities Index | 127.25 | 148.84 |
| ForecastBench | 59.4 | 57 |
| ARC-AGI-2 | — | 18.9% |
| SimpleBench | 25.1% | — |
| Kagi LLM Benchmark | — | 37.9% |
| NYT Connections (extended) | — | 61.8% |
| ARC-AGI-1 | — | 63.7% |
| CritPt | — | 10% |
| Thematic Generalization | — | 61.7% |
| Mystery Game Puzzles | — | 11% |
Math GPT-5.4 mini leads
GPT-4 Turbo: 9.0 (#322), GPT-5.4 mini: 45.5 (#75)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 51.2% |
| OTIS Mock AIME 2024-2025 | 6.7% | 88.9% |
| LMArena Math | 1272 | 1419 |
| FrontierMath Tier 4 | — | 9.8% |
| ProofBench | — | 21% |
| MATH Level 5 | 46.7% | — |
| FrontierMath (Feb 2025 set) | — | 28.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5.4 mini leads
GPT-4 Turbo: 24.3 (#268), GPT-5.4 mini: 51.5 (#67)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 46.6% | 86.9% |
| LMArena Expert | 1223 | 1435 |
| SimpleQA Verified | — | 29.4% |
| Confabulations | 28.4% | — |
| Vectara Hallucination Rate | — | 5.5% |
| MMLU | 81.3% | — |
Multimodal GPT-5.4 mini leads
GPT-4 Turbo: 30.6 (#110), GPT-5.4 mini: 39.7 (#56)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | 1090 | 1245 |
Multilingual GPT-5.4 mini leads
GPT-4 Turbo: 40.5 (#216), GPT-5.4 mini: 51.9 (#96)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1245 | 1405 |
| LMArena Chinese | 1242 | 1446 |
| LMArena French | 1276 | 1440 |
| LMArena German | 1259 | 1409 |
| LMArena Japanese | 1194 | 1374 |
| LMArena Korean | 1187 | 1368 |
| LMArena Russian | 1259 | 1417 |
| LMArena Spanish | 1260 | 1405 |
Instruction Following GPT-5.4 mini leads
GPT-4 Turbo: 65.8 (#216), GPT-5.4 mini: 74.1 (#102)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1249 | 1405 |
Long Context GPT-5.4 mini leads
GPT-4 Turbo: 38.0 (#206), GPT-5.4 mini: 43.0 (#112)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1254 | 1407 |
Writing & Preference GPT-5.4 mini leads
GPT-4 Turbo: 47.7 (#206), GPT-5.4 mini: 64.0 (#58)
| Benchmark | GPT-4 Turbo | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1272 | 1412 |
| LMArena Creative Writing | 1269 | 1370 |
| LMArena Multi-Turn | 1267 | 1429 |
| EQ-Bench Creative Writing | — | 1665 |
Frequently asked questions
Is GPT-4 Turbo better than GPT-5.4 mini?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.5 on the Noometry Index.
Which is cheaper, GPT-4 Turbo or GPT-5.4 mini?
GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is GPT-4 Turbo or GPT-5.4 mini better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 mini does, with 400K tokens against 128K.
How many benchmarks do GPT-4 Turbo and GPT-5.4 mini share?
27 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and GPT-5.4 mini has 46.