# GPT-5.4 mini vs GPT-6 Astra

> GPT-6 Astra is the stronger model overall, scoring 70.8 to 45.0 on the Noometry Index. GPT-5.4 mini costs 12× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-4-mini-vs-gpt-6-astra
- Last updated: 2026-10-10
- Shared benchmarks: 40

## Summary

- They share 40 benchmarks with published results for both. GPT-5.4 mini scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 30.4.
- The biggest single-benchmark swing is FrontierMath Tier 4: 9.8% for GPT-5.4 mini and 97.6% for GPT-6 Astra.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 45.0 | 70.8 |
| Rank | 76 | 1 |
| Context | 400K | 1.05M |
| Input $/M | $0.75 | $10 |
| Output $/M | $4.50 | $50 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.4 mini: 45.2 (#72)
- GPT-6 Astra: 73.7 (#2)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| FrontierCode | 27% | 53.3% |
| LMArena WebDev | 1397 | 1786 |
| SciCode | 49.9% | 56.5% |
| WeirdML | 60.3% | 93.6% |
| LMArena Coding | 1438 | 1487 |
| ALE-Bench | 1,189 | 2,951 |
| DeepSWE | — | 74.1% |
| FrontierSWE | — | 65.5% |
| GSO | — | 79.4% |
| MirrorCode | — | 46.7% |

## Agentic & Tool Use

- GPT-5.4 mini: 29.9 (#81)
- GPT-6 Astra: 52.9 (#3)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| DeepResearch Bench | 36.3% | — |
| BALROG | — | 68.3% |
| GDP.pdf | — | 34.2% |
| Vending-Bench 2 | — | 15,515 |

## Reasoning

- GPT-5.4 mini: 30.4 (#85)
- GPT-6 Astra: 85.1 (#1)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 18.9% | 95% |
| NYT Connections (extended) | 61.8% | 98.1% |
| ARC-AGI-1 | 63.7% | 98.5% |
| CritPt | 10% | 31.7% |
| Chess Puzzles | 24% | 72% |
| LMArena Hard Prompts | 1424 | 1462 |
| Mystery Game Puzzles | 11% | 84% |
| DTBench | 80% | 97.3% |
| LMCA | 40.8% | 64.4% |
| Epoch Capabilities Index | 148.84 | 166.45 |
| Kagi LLM Benchmark | 37.9% | — |
| Thematic Generalization | 61.7% | — |
| EBR-Bench | — | 76.2% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 57 | — |

## Math

- GPT-5.4 mini: 45.5 (#75)
- GPT-6 Astra: 93.5 (#2)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | 93.7% |
| FrontierMath Tier 4 | 9.8% | 97.6% |
| OTIS Mock AIME 2024-2025 | 88.9% | 100% |
| ProofBench | 21% | 99% |
| LMArena Math | 1419 | 1465 |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Erdős | — | 2.9% |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5.4 mini: 51.5 (#67)
- GPT-6 Astra: 75.3 (#1)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 86.9% | 95.8% |
| SimpleQA Verified | 29.4% | 75.6% |
| Vectara Hallucination Rate | 5.5% | 8.7% |
| LMArena Expert | 1435 | 1483 |
| Humanity's Last Exam | — | 54.8% |

## Multimodal

- GPT-5.4 mini: 39.7 (#56)
- GPT-6 Astra: 55.0 (#3)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1245 | 1281 |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |

## Multilingual

- GPT-5.4 mini: 51.9 (#96)
- GPT-6 Astra: 53.7 (#61)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1405 | 1430 |
| LMArena Chinese | 1446 | 1484 |
| LMArena French | 1440 | 1456 |
| LMArena German | 1409 | 1440 |
| LMArena Japanese | 1374 | 1379 |
| LMArena Korean | 1368 | 1426 |
| LMArena Russian | 1417 | 1436 |
| LMArena Spanish | 1405 | 1407 |

## Instruction Following

- GPT-5.4 mini: 74.1 (#102)
- GPT-6 Astra: 76.3 (#44)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1405 | 1450 |

## Long Context

- GPT-5.4 mini: 43.0 (#112)
- GPT-6 Astra: 44.5 (#62)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1407 | 1456 |

## Writing & Preference

- GPT-5.4 mini: 64.0 (#58)
- GPT-6 Astra: 75.3 (#7)

| Benchmark | GPT-5.4 mini | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1412 | 1441 |
| LMArena Creative Writing | 1370 | 1418 |
| EQ-Bench Creative Writing | 1665 | 2173 |
| LMArena Multi-Turn | 1429 | 1448 |

## FAQ

### Is GPT-5.4 mini better than GPT-6 Astra?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 45.0 on the Noometry Index. GPT-5.4 mini costs 12× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.4 mini or GPT-6 Astra?

GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; GPT-6 Astra lists at $10 and $50.

### Is GPT-5.4 mini or GPT-6 Astra better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 45.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5.4 mini and GPT-6 Astra share?

40 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and GPT-6 Astra has 56.