GPT-6 Astra vs Grok 4.20
Verdict
- GPT-6 Astra (high) leads on quality: 71.9 vs 59.9.
- GPT-6 Astra (high) is stronger in agents & tools, coding, composite, knowledge, long context, maths, multimodal, reasoning.
- Grok 4.20 (thinking) is stronger in human preference, instruction following.
- Grok 4.20 (thinking) is 13× cheaper ($1.56 vs $20.00 per 1M blended).
- Grok 4.20 (thinking) streams 2.1× faster (101 vs 47 tokens per second).
| Metric | GPT-6 Astra (high) | Grok 4.20 (thinking) |
|---|---|---|
| BenchLeader Index | 71.9 | 59.9 |
| Agents & tools score | 64.9 | 51.7 |
| Coding score | 72.8 | 54.7 |
| Composite score | 93.8 | 61.5 |
| Knowledge score | 85.1 | 56.8 |
| Long context score | 66.5 | 60.7 |
| Maths score | 79.5 | 55.6 |
| Multimodal score | 71.2 | 59.9 |
| Reasoning score | 81.9 | 60.7 |
| Human preference score | – | 67.1 |
| Instruction following score | – | 79.9 |
| Blended price $/M | $20.00 | $1.56 |
| Output speed | 47 tok/s | 101 tok/s |
| Time to first answer | 49.2 s | 21.4 s |
| Context window | 1.1M | 1M |
| GPQA Diamond | – | 89.3% |
| FrontierMath Tiers 1–3 | – | 44.9% |
| FrontierMath Tier 4 | 97.6% | 17.1% |
| OTIS Mock AIME | – | 92.2% |
| SimpleQA Verified | – | 30.2% |
| Terminal-Bench | 57.9% | – |
| SciCode | 55.4% | – |
| WeirdML | 92.9% | – |
| ProofBench | – | 14.0% |
| LMArena Text | – | 1472 |
| LMArena Hard Prompts | – | 1488 |
| LMArena Coding | – | 1510 |
| LMArena WebDev | – | 1374 |
| LMArena Vision | – | 1263 |
| AA Intelligence Index | 51.0 | 25.7 |
| IFBench | – | 82.9% |
| AA-LCR | 80.0% | 69.0% |
| MMMU-Pro | 86.4% | 74.6% |
| AA-Omniscience | 43.7 | 14.8 |
| Terminal-Bench Hard | – | 40.9% |
| GPQA Diamond (AA) | 95.0% | 91.1% |
| Humanity's Last Exam (AA) | 53.1% | 34.5% |
| SciCode (AA) | 55.4% | – |
| τ²-Bench Telecom (AA) | – | 96.5% |
| AIME (Vals) | – | 96.5% |
| LiveCodeBench | – | 84.3% |
| MMLU-Pro | – | 86.3% |
| LegalBench | – | 77.7% |
| CorpFin | – | 63.7% |
| TaxEval | – | 74.1% |
| MedQA | – | 94.5% |
| Terminal-Bench 2.1 (Vals) | – | 44.2% |
| SWE-bench (Vals) | – | 72.2% |
| GPQA Diamond (Vals) | – | 88.6% |
| Vals Index | – | 17.6 |
| Kagi LLM Benchmark | – | 75.0% |
| ARC-AGI-1 | 98.5% | 89.5% |
| ARC-AGI-2 | 92.1% | 65.1% |
| ARC-AGI-3 | 99.9% | 0.1% |
| CritPt | 28.9% | 6.6% |
| GDPval (AA) | 51.5% | – |
| τ²-Bench Banking (AA) | 40.0% | – |
| APEX-Agents (AA) | – | 14.2% |
| CaseLaw v2 | – | 54.5% |
| Code Migration | – | 0.3% |
| Excel Modeling Benchmark | – | 11.7% |
| Finance Agent v2 | – | 28.5% |
| Harvey's Legal Agent Benchmark | – | 0.0% |
| Legal Research Bench | – | 13.9% |
| MedCode | – | 32.2% |
| MedScribe | – | 63.4% |
| MMMU-Pro (Vals) | – | 83.5% |
| MortgageTax | – | 45.4% |
| SAGE | – | 38.2% |
| Terminal-Bench 2.0 (Vals) | – | 40.5% |
| Vals Multimodal Index | – | 39.1% |
| Vibe Code Bench v1.1 | – | 4.1% |
| LMArena Maths | – | 1467 |
| LMArena Creative Writing | – | 1446 |
| LMArena Instruction Following | – | 1445 |
| LMArena Multi-turn | – | 1480 |
| LMArena Longer Queries | – | 1465 |
| LMArena Document | – | 1439 |
| Chess Puzzles | – | 24.0% |
| MirrorCode | 46.7% | – |
| DeepSWE | 73.2% | – |
| ForecastBench | – | 60.7% |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Astra vs Grok 4.20: questions
- Is GPT-6 Astra better than Grok 4.20?
- GPT-6 Astra (high) leads on quality: 71.9 vs 59.9. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (high) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is GPT-6 Astra better than Grok 4.20 for coding?
- GPT-6 Astra scores higher in coding (73 vs 55 on the category index, where 50 is average).
- Is GPT-6 Astra better than Grok 4.20 for agentic tasks?
- GPT-6 Astra scores higher in agentic tasks (65 vs 52 on the category index, where 50 is average).
- Which is cheaper, GPT-6 Astra or Grok 4.20?
- Grok 4.20 is cheaper: $1.56 against $20.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Astra or Grok 4.20?
- Grok 4.20 streams faster: 101 against 47 output tokens per second.
- Which has the larger context window?
- GPT-6 Astra accepts more context: 1.1M against 1M tokens.