Model comparison
GPT-4.1 vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.3 to 35.7 on the Noometry Index. GPT-4.1 costs 5.7× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. GPT-4.1 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 11.7.
- The biggest single-benchmark swing is ARC-AGI-2: 0.4% for GPT-4.1 and 95% for GPT-6 Astra.
- GPT-4.1 is cheaper at $2 / $8 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 1.05M.
Side by side
| GPT-4.1 | GPT-6 Astra | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.7 | 70.3 |
| Released | 2025-04-14 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 33K | 128K |
| Input $ / M tokens | $2 | $10 |
| Output $ / M tokens | $8 | $50 |
| Results tracked | 52 | 51 |
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Category by category
Coding GPT-6 Astra leads
GPT-4.1: 34.2 (#228), GPT-6 Astra: 70.5 (#3)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| WeirdML | 39% | 93.6% |
| LMArena Coding | 1391 | 1488 |
| ALE-Bench | 558.1 | 2,951 |
| SWE-bench Verified | 48.5% | — |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| LMArena WebDev | — | 1792 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| MirrorCode | — | 46.7% |
| CadEval | 42% | — |
Agentic & Tool Use GPT-6 Astra leads
GPT-4.1: 34.4 (#40), GPT-6 Astra: 52.3 (#3)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Berkeley Function Calling Leaderboard | 54% | — |
| Remote Labor Index | — | 20.8% |
| BALROG | — | 68.3% |
| Vending-Bench 2 | — | 15,515 |
Reasoning GPT-6 Astra leads
GPT-4.1: 11.7 (#334), GPT-6 Astra: 85.1 (#1)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 0.4% | 95% |
| ARC-AGI-1 | 5.5% | 98.5% |
| Chess Puzzles | 6% | 72% |
| LMArena Hard Prompts | 1384 | 1464 |
| DTBench | 68.3% | 97.3% |
| LMCA | 25.6% | 64.4% |
| Epoch Capabilities Index | 136.79 | 166.6 |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 98.1% |
| CritPt | — | 31.7% |
| EnigmaEval | 2.2% | — |
| EBR-Bench | — | 76.2% |
| Mystery Game Puzzles | — | 84% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 61.5 | — |
Math GPT-6 Astra leads
GPT-4.1: 21.4 (#269), GPT-6 Astra: 93.4 (#1)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 93.7% |
| OTIS Mock AIME 2024-2025 | 38.3% | 100% |
| LMArena Math | 1369 | 1463 |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Erdős | — | 2.9% |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-6 Astra leads
GPT-4.1: 37.0 (#152), GPT-6 Astra: 75.3 (#1)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 66.9% | 95.8% |
| Humanity's Last Exam | 5.4% | 54.8% |
| SimpleQA Verified | 31.1% | 75.6% |
| Vectara Hallucination Rate | 5.6% | 8.7% |
| LMArena Expert | 1364 | 1486 |
| MMLU-Pro | 81.1% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal GPT-6 Astra leads
GPT-4.1: 37.5 (#66), GPT-6 Astra: 55.1 (#3)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1210 | 1280 |
| GeoBench | 72% | — |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |
Multilingual GPT-6 Astra leads
GPT-4.1: 49.6 (#128), GPT-6 Astra: 54.0 (#53)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1370 | 1431 |
| LMArena Chinese | 1382 | 1495 |
| LMArena French | 1383 | 1467 |
| LMArena Russian | 1377 | 1434 |
| LMArena Spanish | 1375 | 1412 |
| LMArena German | 1380 | — |
| LMArena Japanese | 1320 | — |
| LMArena Korean | 1339 | — |
Instruction Following GPT-6 Astra leads
GPT-4.1: 71.5 (#148), GPT-6 Astra: 76.6 (#37)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1367 | 1454 |
| IFEval | 83.8% | — |
Long Context GPT-6 Astra leads
GPT-4.1: 40.0 (#158), GPT-6 Astra: 44.7 (#57)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1385 | 1460 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-6 Astra leads
GPT-4.1: 57.8 (#120), GPT-6 Astra: 75.7 (#7)
| Benchmark | GPT-4.1 | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1383 | 1443 |
| LMArena Creative Writing | 1363 | 1423 |
| EQ-Bench Creative Writing | 1420 | 2173 |
| LMArena Multi-Turn | 1398 | 1457 |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.3 to 35.7 on the Noometry Index. GPT-4.1 costs 5.7× 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-4.1 or GPT-6 Astra?
GPT-4.1 is cheaper. It lists at $2 per million input tokens and $8 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is GPT-4.1 or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 1.05M.
How many benchmarks do GPT-4.1 and GPT-6 Astra share?
30 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and GPT-6 Astra has 51.