Model comparison
GPT-4o mini vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.3 to 25.4 on the Noometry Index. GPT-4o mini costs 76× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Summary
- They share 28 benchmarks with published results for both. GPT-4o 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 math, where GPT-6 Astra leads 93.4 to 9.9.
- The biggest single-benchmark swing is ARC-AGI-2: 0% for GPT-4o mini and 95% for GPT-6 Astra.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-4o mini | GPT-6 Astra | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 25.4 | 70.3 |
| Released | 2024-07-18 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.15 | $10 |
| Output $ / M tokens | $0.60 | $50 |
| Results tracked | 60 | 51 |
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Category by category
Coding GPT-6 Astra leads
GPT-4o mini: 21.6 (#330), GPT-6 Astra: 70.5 (#3)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| WeirdML | 11.8% | 93.6% |
| LMArena Coding | 1290 | 1488 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1792 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| MirrorCode | — | 46.7% |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 2,951 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-6 Astra leads
GPT-4o mini: 27.2 (#95), GPT-6 Astra: 52.3 (#3)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| BALROG | 17.4% | 68.3% |
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| Vending-Bench 2 | — | 15,515 |
Reasoning GPT-6 Astra leads
GPT-4o mini: 8.7 (#343), GPT-6 Astra: 85.1 (#1)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 0% | 95% |
| Chess Puzzles | 0% | 72% |
| LMArena Hard Prompts | 1267 | 1464 |
| Mystery Game Puzzles | 12% | 84% |
| DTBench | 54.4% | 97.3% |
| LMCA | 10.4% | 64.4% |
| Epoch Capabilities Index | 126.56 | 166.6 |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 98.1% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| EBR-Bench | — | 76.2% |
| LiveBench Reasoning | 32.8% | — |
| LiveBench Data Analysis | 50% | — |
| Bench to the Future 3 | — | 0.14 |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math GPT-6 Astra leads
GPT-4o mini: 9.9 (#307), GPT-6 Astra: 93.4 (#1)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 93.7% |
| OTIS Mock AIME 2024-2025 | 6.9% | 100% |
| LMArena Math | 1267 | 1463 |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| FrontierMath Erdős | — | 2.9% |
| GSM8K | 91.3% | — |
Knowledge GPT-6 Astra leads
GPT-4o mini: 17.7 (#279), GPT-6 Astra: 75.3 (#1)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 37.7% | 95.8% |
| SimpleQA Verified | 8.3% | 75.6% |
| LMArena Expert | 1235 | 1486 |
| Humanity's Last Exam | — | 54.8% |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 8.7% |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal GPT-6 Astra leads
GPT-4o mini: 25.3 (#117), GPT-6 Astra: 55.1 (#3)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1066 | 1280 |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |
Multilingual GPT-6 Astra leads
GPT-4o mini: 42.2 (#194), GPT-6 Astra: 54.0 (#53)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1266 | 1431 |
| LMArena Chinese | 1264 | 1495 |
| LMArena French | 1296 | 1467 |
| LMArena Russian | 1275 | 1434 |
| LMArena Spanish | 1276 | 1412 |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
Instruction Following GPT-6 Astra leads
GPT-4o mini: 62.1 (#234), GPT-6 Astra: 76.6 (#37)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1259 | 1454 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-6 Astra leads
GPT-4o mini: 39.1 (#181), GPT-6 Astra: 44.7 (#57)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1289 | 1460 |
Writing & Preference GPT-6 Astra leads
GPT-4o mini: 39.7 (#243), GPT-6 Astra: 75.7 (#7)
| Benchmark | GPT-4o mini | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1286 | 1443 |
| LMArena Creative Writing | 1268 | 1423 |
| EQ-Bench Creative Writing | 873 | 2173 |
| LMArena Multi-Turn | 1285 | 1457 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.3 to 25.4 on the Noometry Index. GPT-4o mini costs 76× 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-4o mini or GPT-6 Astra?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is GPT-4o mini or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 21.6 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4o mini and GPT-6 Astra share?
28 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and GPT-6 Astra has 51.